WO2013018613A1 - Comparison system, comparison server, comparison method, characteristic extraction device, comparison/search device, and program - Google Patents
Comparison system, comparison server, comparison method, characteristic extraction device, comparison/search device, and program Download PDFInfo
- Publication number
- WO2013018613A1 WO2013018613A1 PCT/JP2012/068827 JP2012068827W WO2013018613A1 WO 2013018613 A1 WO2013018613 A1 WO 2013018613A1 JP 2012068827 W JP2012068827 W JP 2012068827W WO 2013018613 A1 WO2013018613 A1 WO 2013018613A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- collation
- contour
- target
- shape
- verification
- Prior art date
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
- G06T7/74—Determining position or orientation of objects or cameras using feature-based methods involving reference images or patches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5854—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using shape and object relationship
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30128—Food products
Definitions
- the present invention relates to a collation system, a collation server, a collation method, a feature extraction device, a collation / retrieval device, and a program.
- Patent Document 1 an individual information acquisition system for agricultural products that allows consumers and the like to easily know individual information on agricultural products.
- Patent Document 1 The technology of Patent Document 1 is, for example, by assigning an ID number that is an identifier to agricultural products such as melons, such as a person other than a person (producer farmer or agricultural cooperative) involved in the production of these melons (for example, a consumer) ) Makes it possible to obtain individual information on the melon based on the ID number.
- a label strip or sticker
- an ID number is affixed to the produce.
- a database system is constructed by storing individual information on agricultural products together with the above ID numbers in a computer system provided in a neutral organization (for example, a database corporation) provided separately.
- the producer transmits the ID number to the computer system, and the individual information of the agricultural product, the production location, the producer name, the variety, the cultivation method, the harvest date, and the quality information (sugar content, etc.) ) And send.
- At least one computer is installed in a retailer's store, a consumer's home, and the like, and is connected to the computer system through a general public line. Then, the retailer's store or the consumer obtains individual information regarding the agricultural product specified by the ID number by transmitting the ID number described on the label attached to the agricultural product from the computer to the computer system. can do.
- a label (seal or sticker)
- a label Is removed from agricultural, forestry and fishery products, or copied and imitated, and attached to other similar agricultural, forestry and fishery products, since there is no way to identify the individual agricultural, forestry and fishery products, so that counterfeiting such as the shipping source of agricultural, forestry and fishery products is prevented. I could't.
- inventory management information for each individual item could not be retrieved when the label could not be attached or peeled off.
- the present invention has been invented in view of the above-described problems, and its purpose is not to use a special device such as an IC tag, and a collation and retrieval system capable of collating and retrieving information on a collation target, collation and A search server, a collation and retrieval method, a feature extraction apparatus, a collation and retrieval apparatus, and a program are provided.
- the present invention includes a first imaging unit that captures an image including a predetermined part and an outline of a verification target that is a regular product or a management target, and an image of the verification target captured by the first imaging unit.
- a first feature calculation means for calculating the contour shape and position features of the object to be verified with reference to a predetermined part; and the contour shape of the regular object to be verified calculated by the first feature calculator;
- Second feature calculation means for calculating the shape and position characteristics of the contour of the verification target based on the predetermined part from the image of the target; and the contour shape of the verification target that is the genuine product or the management target And the characteristics of the position and the authenticity
- a matching and retrieval system and a collating means for collating the features of contour shape and position of the collation object focus.
- the present invention provides a first feature calculation for calculating a feature of a contour shape and a position of a collation target with reference to the predetermined portion from an image including a predetermined portion and contour of a collation target that is a regular product or a management target. And second feature calculation means for calculating the shape and position features of the contour of the collation target with reference to the predetermined portion from the image including the predetermined portion and contour of the collation target to be verified.
- a collation / retrieval server having collation means for collating the shape and position characteristics of the outline of the collation target object that is the genuine product or the management object with the outline shape and position characteristics of the collation target object of the authenticity collation It is.
- the present invention calculates the feature of the shape and position of the contour of the collation target based on the predetermined portion from the image including the predetermined portion and contour of the collation target that is a regular product or a management target, and the calculated
- the shape and position characteristics of the contour of the verification target object of the genuine product are stored, and from the image including the predetermined part and contour of the verification target object to be verified, the contour of the verification target object based on the predetermined part Collation that calculates shape and position features and collates the contour shape and position features of the genuine or managed object to be collated with the contour and shape features of the object to be collated ⁇ It is a search method.
- the present invention relates to a process for calculating the shape and position characteristics of the contour of a verification target with reference to the predetermined portion from an image including the predetermined portion and contour of a verification target that is a regular product or a management target, and authenticity verification.
- Processing for calculating the contour shape and position characteristics of the object to be verified with reference to the predetermined part from the image including the predetermined part and contour of the object to be verified, and verification that is the genuine product or the management target It is a program for causing a computer to execute a process of collating the shape and position characteristics of the contour of the object with the contour shape and position characteristics of the collation target of the verification.
- the present invention relates to the shape of the outline of the verification object based on the predetermined part from the image including the predetermined part and the outline of the verification object that is a genuine product or a management target, or the verification target that is the target of authenticity verification. And a feature extraction device having feature calculation means for calculating the feature of the position.
- the present invention provides a first feature calculation for calculating a feature of a contour shape and a position of a collation target with reference to the predetermined portion from an image including a predetermined portion and contour of a collation target that is a regular product or a management target. And second feature calculation means for calculating the shape and position features of the contour of the collation target with reference to the predetermined portion from the image including the predetermined portion and contour of the collation target to be verified.
- a collation / retrieval device having collation means for collating the shape and position characteristics of the outline of the verification object that is the genuine product or the management target with the outline shape and position characteristics of the verification target object of the authenticity verification is there.
- the present invention does not require a special device such as an IC tag, and can collate the object to be collated or search for management information.
- FIG. 1 is a block diagram of an embodiment of the present invention.
- FIG. 2 is a diagram for explaining the first embodiment.
- FIG. 3 is a diagram for explaining the first embodiment.
- FIG. 4 is a diagram for explaining the first embodiment.
- FIG. 5 is a diagram for explaining the first embodiment.
- FIG. 6 is a diagram for explaining the first embodiment.
- FIG. 7 is a diagram for explaining the second embodiment.
- FIG. 8 is a diagram for explaining the second embodiment.
- FIG. 9 is a diagram for explaining the third embodiment.
- FIG. 10 is a block diagram of an embodiment of the collation / search system.
- FIG. 11 is a block diagram of the collation / search terminal device.
- FIG. 1 is a block diagram of an embodiment of the present invention.
- the first embodiment of the present invention detects an image capturing unit 1 that captures an image including an image including a predetermined region and an outline of a verification target object that is a genuine product, and detects a predetermined region from an image captured by the image capturing unit 1.
- a feature calculation unit 2 that calculates the features of the contour and position of a matching object that is a genuine product normalized with respect to a predetermined part, and the contour of the genuine product that is calculated by the feature calculation unit 2
- the recording unit 3 in which the features of the position and the shape are recorded, the imaging unit 4 that captures an image including a predetermined part and outline of the verification target object that is the target of authentication verification, and the verification target image captured by the imaging unit 4
- a feature calculation unit 5 that detects a predetermined part from the image and calculates the feature of the position and shape of the contour of the object to be verified that is normalized with reference to the predetermined part, and a verification target that is a genuine product
- a matching and retrieval system having a matching portion 6 for matching the characteristics of the position and shape of the contour of the collation object.
- the present invention uses the fact that the contour shape of the verification target object determined based on a predetermined part such as a label or an exterior is different for each individual / lot, and the authenticity verification target object registered is registered. It is to check whether it is the same as the product.
- the matching object to which the present invention is applied is not particularly limited as long as the contour is different for each individual, but examples of the contour being different for each individual are fruits, vegetables, meat, There are agricultural, forestry and fishery products such as fish and timber, and industrial products such as steel materials that differ from lot to lot.
- the predetermined part of the verification target is a label affixed to the verification target, an exterior or package (box) that wraps the verification target, or a characteristic part that does not depend on the individual of the verification target It is.
- wood is used as an object to be verified, and a label attached to wood as a predetermined part is explained as an example.
- the verification object registered in the recording unit 3 by the producer or the distribution manager is described as a genuine product, and the verification object to be verified by the distribution manager or the consumer is described as the authenticity verification object. To do.
- the imaging unit 1 captures an image of wood including a predetermined part (label 11) of the wood 10 that is a regular product or inventory management target.
- a special device may be provided for imaging regular wood, but a digital camera equipped with a CCD, a CMOS, or a mobile phone may also be used.
- FIG. 2 is a diagram showing a cross section of a regular wood 10 to be registered.
- a label 11 is attached to the wood 10.
- the sticking position of the label 11 is not specifically limited, when the cross section of the timber 10 is image
- the imaging unit 1 captures an image so that an entire image of the wood 10 including the label 11 can be captured.
- the object has a region with a visible feature that can specify the position and orientation regardless of the individual, such as the center of the annual ring or a mark engraved or written a predetermined figure, the part, A label can be substituted, and no label is required.
- the predetermined area is referred to as a label.
- the predetermined part is a region of appearance having characteristics that do not depend on an individual in the verification target, for example, literature (Toshinori Hosoi, Tetsuaki Suzuki, Satoshi Sato, face detection by generalized learning vector quantization, It is possible to automatically specify the location in the image by using a technology such as IEICE Technical Report, Volume 102 No. 651 (PRMU2002 201-210) pages 47-52), It is also possible to automatically take an image based on a predetermined part.
- this technique is merely an example, and various known pattern detection techniques can be used. Further, JPEG or the like may be used regardless of the file format of the captured image.
- the photograph of the genuine product is photographed by a person who is involved in production (for example, a production farmer, an agricultural cooperative, or a factory) or a person who performs quality control of an object to be verified in the distribution process, but is limited to these persons. It is not something.
- the feature calculation unit 2 detects the label 11 from the image of the wood 10 captured by the imaging unit 1 and calculates the shape and position features of the contour of the genuine wood 10 normalized using the label 11 as a reference. .
- the feature calculation unit 2 specifies a region of the wood 10 from the image of the wood 10 using a difference in color between the background and the wood 10. Further, the position and shape of the label 11 are extracted from the image, and the feature is calculated based on the reference coordinate system of the position and size.
- the characteristics of the label 11 as registered data in advance, it is possible to use a label of a free design or an exterior pattern as a reference instead of a predetermined pattern such as a barcode. Specifically, features such as the shape, color, arrangement and size of the label 11, characters written on the label, and the like are stored in advance for detecting the label 11. In this way, the label 11 can be detected from the image.
- the feature calculation unit 2 determines a reference coordinate system that serves as a reference for calculating the contour shape and position features of the wood 10 based on the label 11.
- FIG. 3 is an example of a reference coordinate system in which the top end 12 of the label 11 is the origin, the horizontal direction of the label 11 is the X axis, and the vertical direction of the label 11 is the Y axis.
- the feature calculation unit 2 detects the label 11 from the image of the wood 10 captured by the imaging unit 1, extracts the contour of the wood 10, and uses the contour as a reference coordinate system. And shape and position features such as contour distance ⁇ from the origin are calculated.
- shape and position features such as contour distance ⁇ from the origin are calculated.
- the top of a label is not necessarily image
- the storage unit 3 stores the shape and position features of the contour based on the label 11 of the genuine wood 10 calculated by the feature calculation unit 2.
- the production area or production site of the regular product producer name or manufacturer, variety, cultivation method, harvest date, production date, quality information (sugar content, etc.), eating time, raw materials, It may be stored in association with production information such as a lot number, distribution information such as a shipping location and a shipping date, and the like. By doing in this way, production management and distribution management of a regular article can be performed.
- the imaging unit 4 exists on the side where a consumer or the like performs verification of an authentic verification target, and has the same configuration as the imaging unit 1.
- a consumer or the like who requests collation captures an image including a label of wood, which is an authentic collation target.
- the captured image is transmitted to the feature calculation unit 5.
- the feature calculation unit 5 has the same configuration as the feature calculation unit 2 described above, detects the label 11 from the image of the wood that is the object of authenticity verification, and features the shape and position of the contour of the wood based on the label 11. Calculate Then, the calculated feature of the wood of the authentic verification target object is transmitted to the verification unit 6.
- the collation unit 6 collates the wood feature of the authenticity verification target object from the feature calculation unit 5 with the feature of the regular product recorded in the recording unit 3, and identifies which of the regular products it is.
- the position of the contour of the authenticity verification target with reference to the label or the exterior changes, so that it is possible to determine impersonation or an error.
- the position and orientation of the outline of the object to be verified with reference to the label and the exterior are also different for each individual. It is possible to search for management information.
- the label and the exterior are genuine, even if the genuine product itself is replaced with a fake, the contour of the individual itself is different, and the shape and position of the contour based on the label and the exterior also change. Therefore, the impersonation or error can be determined.
- the feature calculation unit 2, the feature calculation unit 3 and the collation unit described above do not need to be on the producer or manager side for registering the genuine product, or on the manager or consumer side for authentic verification. You may provide in the collation process side in the form like a collation server.
- the present invention can be applied even when the collation / search object is a set of a plurality of individuals.
- the verification target is composed of a plurality of individuals.
- the verification target object is composed of a plurality of individuals
- a case where a plurality of individuals are collectively packaged together is conceivable.
- strawberries and the like are in a form in which a plurality of strawberries are packed in one tray 20 and wrapped and sold.
- the arrangement of strawberries differs individually, and the contours formed by a plurality of strawberries as shown in FIG. 7 are also different. Therefore, if such an object composed of a plurality of individuals is used as one object to be verified, the object to be verified and the contour formed by the plurality of individuals forming the object to be verified have a one-to-one relationship. It can be used for collation of collation objects.
- the feature object calculation unit 2 sets a reference coordinate system in advance with a tray filled with strawberries as a predetermined part.
- the upper left end point of the tray 20 is detected from the label 21 stuck on the upper left side of the tray, this end point is set as the origin, the horizontal direction of the tray is the X axis, and the vertical direction of the tray is the Y axis.
- the reference coordinate system Define the reference coordinate system.
- the feature calculation unit 2 detects the tray 20 and the label 21 from the image captured by the imaging unit 1, and calculates the feature of the contour shape and position composed of a plurality of strawberries normalized with the tray 20 as a reference. To do.
- the calculated feature is registered in the storage unit 3.
- the production area or production site of the regular product may be stored in association with production information such as a lot number, distribution information such as a shipping location and a shipping date, and the like. By doing in this way, production management and distribution management of a regular article can be performed.
- the imaging unit 4 that exists on the side that performs verification of the authenticity verification target by the consumer or the like captures the entire image of the packaged strawberry that is the authenticity verification target. The captured image is transmitted to the feature calculation unit 5.
- the feature calculation unit 5 has the same configuration as the feature calculation unit 2 described above, detects the tray 20 from the entire image of the packaged strawberry that is the object of authenticity verification, and is normalized with reference to the tray 20. Calculate the shape and position features of the contour consisting of multiple strawberries. Then, the calculated feature of the wood of the authentic verification target object is transmitted to the verification unit 6.
- the collation unit 6 collates the packaged strawberry features of the authenticity verification object from the feature calculation unit 5 with the genuine product features recorded in the recording unit 3 to determine which regular product is the genuine product. Identify.
- the contour formed by the plurality of individuals is used for collation, so that Similarly, collation processing can be performed.
- the third embodiment is characterized in that, in addition to the feature of the contour shape and position of the verification target object, the surface pattern of the verification target object in the contour of the verification target object is also used for verification.
- the matching object to which the present invention is applied is not particularly limited as long as the surface pattern of the matching object is characteristic.
- Examples of the matching object having a characteristic surface pattern include melon and strawberry. , Apples, lemons, none, tangerines, seafood, wood.
- the surface pattern of the object to be verified includes, for example, a surface pattern of melon, seed grains on the surface of a strawberry, fresh flower leaf veins, fish scales, wood grain and annual rings.
- the feature unit 2 extracts a surface pattern in the extracted contour as a feature in addition to the operation of the second embodiment described above.
- FIG. 9 is a diagram showing an example in which spots on the epidermis of the strawberry within the extracted contour are extracted as features of the surface pattern.
- the feature extraction may be performed using a technique for extracting image features of a fingerprint such as a luminance value of an image, a feature point, an inflection point of a line of a binarized image, an intersection, an end point, and a center point.
- the extracted regular product packaged strawberry outline shape, position, and surface pattern features in the outline are registered in the recording unit 3.
- the same processing is performed on the authenticity verification side, and is transmitted to the verification unit 6.
- the collation unit 6 performs collation of the surface pattern in addition to the collation described in the second embodiment.
- a method for matching image features For example, the end points, intersections, and corners of epidermis pattern lines are used as feature points (in the case of strawberry epidermis patterns, the center of the epidermis spot is the feature point).
- the arrangement of the points is collated, and when the number of pairs of feature points at the same position (range within a certain threshold) is equal to or greater than a predetermined number, the points are determined to be the same.
- an existing fingerprint collation technique can be used.
- the surface pattern of the verification target object in the contour of the verification target is also used for verification.
- a highly accurate collation process can be performed.
- FIG. 10 is a block diagram of an embodiment of the collation / search system.
- the collation / retrieval system includes a feature extraction apparatus 100 installed on the production / management side of a collation target (for example, wood), a collation / search server 200 that performs collation / search, and a consumer.
- a collation target for example, wood
- a collation / search server 200 that performs collation / search
- a consumer for example, a consumer.
- Mobile phone 300 Mobile phone
- the image feature extraction apparatus 100 includes an imaging unit 101, a feature calculation unit 102, and a transmission unit 103.
- the imaging unit 101 and the feature calculation unit 102 have the same configuration as the imaging unit 1 and the feature calculation unit 2 described above.
- the transmission unit 103 transmits the image feature of the verification target (for example, wood) calculated by the feature calculation unit 102 and the manufacturing information (production location, producer name, production date, quality information, etc.) of the verification. .
- the collation / search server 200 includes a database 201, a feature calculation unit 202, and a collation / search unit 203.
- the feature calculation unit 202 and the collation / retrieval unit 203 have the same configuration as the feature calculation unit 5 and the collation unit 6 described above.
- the database 201 features of the shape and position of the contour based on the wood label transmitted from the feature extraction apparatus 100 on the producer side and the production information of the wood are stored in association with each other.
- the mobile phone 300 includes an imaging unit 301 and a transmission / reception unit 302.
- the imaging unit 301 has the same configuration as the imaging unit 4 described above.
- the transmission unit 302 transmits an image including a wood label imaged by the imaging unit 301 to the collation / search server 200. Also, the determination result from the collation / search server 200 is received.
- the producer registers the feature of the label 11 attached to the wood as shown in FIG. Then, the whole image of the wood including the label 11 is taken by the imaging unit 101.
- the feature calculation unit 102 detects the label 11 from the captured image of the wood 10 and calculates the feature of the shape and position of the contour of the wood based on the detected label 11.
- the producer inputs the photographed wood production information (production location, producer name, production date, quality information, etc.) to the feature extraction apparatus 100. Then, the transmission unit 103 transmits the characteristics of the wood 10 and the production information of the wood to the collation / search server 200.
- the collation / search server 200 registers the characteristics of the wood from the producer's feature extraction apparatus 100 and the production information of the wood in the database 201.
- the consumer captures the entire image of the wood 10 including the label 11 by the imaging unit 301 of the mobile phone 300 in order to collate the wood 10 to be collated.
- the captured image is transmitted to the collation / search server 200 by the transmission / reception unit 302.
- the image feature extraction apparatus 202 of the collation / search server 200 detects the label 11 of the wood 10 to be collated from the received image by the same method as described above, and the detected label 11 of the wood 10 is detected. Calculate contour shape and position features. The calculated feature is output to the collation / retrieval unit 203.
- the collation / search unit 203 collates the received image feature with the feature registered in the database 201, and if there is a match, reads the production information associated with the feature and transmits it to the mobile phone 300. . On the other hand, if there is no match as a result of the verification, it is notified that the wallet to be verified is camouflaged.
- the mobile phone 300 receives the authentication result from the verification / search server 200 and notifies the consumer.
- the product can be verified, and as a result of the verification, production information of the product can also be acquired. Further, not only the consumer but also the side managing the distribution can obtain the production information, so the distribution of the product can be managed.
- the feature calculation unit 102 that first extracts the feature of the matching target is configured to be installed in the producer's device, but also serves as the feature calculation unit 202 of the matching / search server 200. You can also.
- the producer side is configured to transmit an image of the verification object.
- the collation / search server 200 is provided, and each consumer performs the collation processing by communication.
- the collation is performed from the database in which the contour feature of the collation target such as the database 201 is registered.
- the outline feature of the object may be downloaded in advance, and the matching process may be performed without communication.
- the collation / search terminal device as described above includes a storage unit 300 that stores outline features of a collation target registered in a producer, an imaging unit 301, a feature calculation unit 302, and a collation / search.
- a unit 303 and a display unit 304 are provided.
- the imaging unit 301, the feature calculation unit 302, and the collation / search unit 303 have the same configuration as the above-described imaging unit, feature calculation unit, and collation / search unit, and the display unit 304 includes the collation / search unit 303.
- the collation result, production information of the collation target object when it is determined that they are identical, and the like are displayed.
- the feature amount calculation unit and the collation unit can be configured by hardware, but can also be realized by a computer program.
- functions and operations similar to those in the above-described embodiments and examples are realized by a processor that operates according to a program stored in the program memory.
- the 1st imaging means which images the image containing the predetermined part and outline of the collation target object which is a regular article or management object, First feature calculation means for calculating features of the shape and position of the contour of the verification target with reference to the predetermined part from the image of the verification target image captured by the first imaging means; Recording means for recording the contour shape and position features of the regular verification object calculated by the first feature calculation means; A second image pickup means for picking up an image including a predetermined portion and a contour of a verification target object to be verified; Second feature calculation means for calculating features of the shape and position of the contour of the verification target based on the predetermined part from the image of the verification target image captured by the second imaging means; A collation / retrieval system comprising collation means for collating the shape and position characteristics of the genuine object or the object of collation to be managed with the outline shape and position characteristics of the object of collation for authenticity collation.
- the said collation target object is an industrial product from which an outline differs because the fixed position and direction with respect to an exterior differ individually from agriculture, forestry and fishery products, an industrial product from which a shape of an outline differs for every individual, or an exterior.
- the said 1st and 2nd characteristic calculation means normalize the shape and position of the outline of the said collation target based on the coordinate system on the basis of the said predetermined part, and additional remarks from the additional remark 1 4.
- the verification system according to any one of 3.
- the said 1st and 2nd characteristic calculation means in addition to the characteristic of the shape and position of the outline of the said collation target object WHEREIN: The characteristic of the surface pattern of the said collation target object in the outline of the said collation target object Calculate
- the recording means stores the shape and position characteristics of the contour of the regular verification target object, and the characteristics of the surface pattern in the contour
- the collation means includes a contour shape, a contour position, and a feature of a surface pattern in the contour of the genuine collation target object, a contour shape, a contour position, and a contour pattern of the collation target object in the authenticity collation. 6.
- the collation system according to any one of appendix 1 to collation 5 for collating the characteristics of the surface pattern.
- the 1st feature calculation which calculates the feature of the shape and position of the outline of a collation target on the basis of the predetermined part from the image containing the predetermined part and outline of the collation target which is a regular article or a management object Means, Second feature calculation means for calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
- a collation / retrieval server comprising collation means for collating the shape and position characteristics of the outline of the verification object that is the genuine product or the management target with the outline shape and position characteristics of the verification target object of the authenticity verification.
- the supplementary note is an agricultural, forestry or fishery product, an industrial product that has a difference in contour shape for each individual, or an industrial product that has a different contour because the fixed position / orientation with respect to the exterior differs individually. 7.
- part is the characteristic part which does not depend on the label affixed on the said collation target object, the exterior of the said collation target object, or the individual
- the said 1st and 2nd characteristic calculation means normalizes the shape and position of the outline of the said collation target based on the coordinate system on the basis of the said predetermined part, and additional remarks from the additional remark 7 9.
- the collation / search server according to any one of 9 above.
- Additional remark 13 The said collation target is described in the additional remark 12 which is an agricultural product which differs in the shape of an outline for every agriculture, forestry and fishery product, an individual, or an industrial product from which an outline differs because the fixed position and direction with respect to an exterior differ individually. Collation / search method.
- the predetermined part is any one of Supplementary Note 12 to Supplementary Note 13, which is a label affixed to the verification target, an exterior of the verification target, and a characteristic part that does not depend on an individual of the verification target.
- a collation target includes a plurality of individuals, and a contour formed by the plurality of individuals is defined as a contour of the collation target.
- the 1st feature calculation which calculates the feature of the shape and position of the outline of a collation target on the basis of the predetermined part from the picture containing the predetermined part and outline of the collation target which is a regular article or a management object Means, Second feature calculation means for calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
- a collation / retrieval device comprising collation means for collating the shape and position characteristics of the genuine object or management target contour object with the contour shape and position characteristics of the collation target object for authenticity verification.
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Library & Information Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Analysis (AREA)
Abstract
The present invention is a comparison/search system that has: a first imaging means that obtains an image which includes a prescribed site and an outline of a comparison subject which is a legitimate product or an object being managed; a first characteristic calculation means that calculates, from the image of the comparison subject obtained with the first imaging means, the characteristics of the shape and the position of the outline of the comparison subject, with the prescribed site as a reference; a recording means that records the characteristics of the shape and the position of the outline of the comparison subject which is a legitimate product, the characteristics having been calculated by the first characteristic calculation means; a second imaging means that obtains an image which includes a prescribed site and an outline of a comparison subject which is an object being authenticated; a second characteristic calculation means that calculates, from the image of the comparison subject obtained with the second imaging means, the characteristics of the shape and the position of the outline of the comparison subject, with the prescribed site as a reference; and a comparison means that compares the characteristics of the shape and the position of the outline of the comparison subject which is a legitimate product or an object being managed and the characteristics of the shape and the position of the outline of the comparison subject which is an object being authenticated.
Description
本発明は、照合システム、照合サーバ、照合方法、特徴抽出装置、照合・検索装置及びプログラムに関する。
The present invention relates to a collation system, a collation server, a collation method, a feature extraction device, a collation / retrieval device, and a program.
近年、消費者や小売業者等は、農林水産物の安全性やの生産地の等のこだわり等の意識が高まっている。しかしながら、小売店の店頭におかれる農林水産物が、農林水産物の生産地や卸売業者から出荷されたものであるのか、消費者や小売業者では、それを判定する手段がなかった。
In recent years, consumers and retailers have become more aware of the safety of agricultural, forestry and fishery products and their commitment to production areas. However, consumers and retailers have no means of determining whether agricultural, forestry and fishery products placed at retail stores are shipped from agricultural, forestry and fishery production sites and wholesalers.
すなわち、従来の農林水産物の流通システムにおいては、生産者と消費者との間に多数の中間業者(数次の卸売り店等)が介在している。このように生産者と消費者との間に多数の中間業者が介在していることに起因して、農林水産物が消費者の手に渡る際には、当該農林水産物の個体情報(当該農林水産物の生産地、生産者名、品種、栽培方法、収穫日、品質情報等)が正確に伝えられることは困難であった。
In other words, in the conventional distribution system for agricultural, forestry and fishery products, a large number of intermediaries (several wholesalers, etc.) are interposed between producers and consumers. In this way, due to the presence of many middlemen between producers and consumers, when agricultural, forestry and fishery products are delivered to consumers, individual information of the agricultural, forestry and fishery products (the relevant agricultural, forestry and fishery products) It was difficult to accurately convey the production area, producer name, variety, cultivation method, harvest date, quality information, etc.).
そこで、消費者等が農産物の個体情報を容易に知ることができる農産物の個体情報入手システムが提案されている(例えば、特許文献1)。
Therefore, an individual information acquisition system for agricultural products that allows consumers and the like to easily know individual information on agricultural products has been proposed (for example, Patent Document 1).
特許文献1の技術は、例えば、メロンのような農産物に識別子であるID番号を付与することにより、これらメロンの生産に係る者(生産農家或は農業協同組合)以外の者(例えば、消費者)が上記ID番号に基づいて当該メロンに係る個体情報を入手自在とするものである。このために、農産物には、ID番号を記載したラベル(シール或はステッカー)が貼付される。
The technology of Patent Document 1 is, for example, by assigning an ID number that is an identifier to agricultural products such as melons, such as a person other than a person (producer farmer or agricultural cooperative) involved in the production of these melons (for example, a consumer) ) Makes it possible to obtain individual information on the melon based on the ID number. For this purpose, a label (seal or sticker) with an ID number is affixed to the produce.
また、別途設けた中立の機関(例えば、データベース法人)に備えられたコンピュータシステムに、農産物に関する個体情報を、上記ID番号とともに記憶させ、データベースを構築している。生産者は、このコンピュータシステムに、上記ID番号を送信するとともに、当該農産物の個体情報である、生産地と、生産者名と、品種と、栽培方法と、収穫日と、品質情報(糖度等)とを送信する。
Also, a database system is constructed by storing individual information on agricultural products together with the above ID numbers in a computer system provided in a neutral organization (for example, a database corporation) provided separately. The producer transmits the ID number to the computer system, and the individual information of the agricultural product, the production location, the producer name, the variety, the cultivation method, the harvest date, and the quality information (sugar content, etc.) ) And send.
小売業者の店舗や消費者の自宅等には少なくとも1台のコンピュータを設置するとともに、一般公衆回線を介して上記コンピュータシステムと通信自在に接続している。そして、小売業者の店舗や消費者は、コンピュータから、農産物に貼付されているラベルに記載されているID番号をコンピュータシステムに送信することにより、そのID番号によって特定される農産物に関する個体情報を入手することができる。
At least one computer is installed in a retailer's store, a consumer's home, and the like, and is connected to the computer system through a general public line. Then, the retailer's store or the consumer obtains individual information regarding the agricultural product specified by the ID number by transmitting the ID number described on the label attached to the agricultural product from the computer to the computer system. can do.
また、流通業者等が在庫している農林水産物を管理する際にも、個々の在庫品について、在庫管理において区別すべき情報(たとえば、鮮度につながる入荷日、収穫日、加工目的に応じて異なる含有成分量などの品質情報、など)を知る必要がある。その一例として、入荷日の古い在庫品は、同一品種の新しいものよりも先に、価格を下げて販売するなどといったことを行う。従来では、上述した技術と同様に、農産物にラベル・ID番号を付与することによって、当該ID番号に基づいて在庫管理情報をコンピュータシステムで検索している。
In addition, when managing agricultural, forestry and fishery products stocked by distributors, etc., information that should be differentiated in inventory management for individual stocks (for example, depending on the arrival date, harvest date leading to freshness, and processing purpose) It is necessary to know quality information, such as the amount of ingredients. As an example, stocks with an old arrival date are sold at a lower price than new ones with the same product type. Conventionally, inventory management information is searched by a computer system based on the ID number by assigning labels and ID numbers to agricultural products, as in the above-described technique.
しかしながら、特許文献1のような農林水産物にラベル(シール或はステッカー)を貼付して、或いは、包装材等によって個体を識別する方法では、故意にラベル(以下、ラベルと包装材を含めてラベルと称す)を農林水産物から剥がし、あるいは複製・模造し、他の同様な農林水産物に貼付添付されると、農林水産物の個体を識別する方法がないので、農林水産物の出荷元などの偽装を防ぐことができなかった。
However, in the method of attaching a label (seal or sticker) to agricultural, forestry and fishery products such as Patent Document 1 or identifying an individual using a packaging material, etc., a label (hereinafter, including label and packaging material) ) Is removed from agricultural, forestry and fishery products, or copied and imitated, and attached to other similar agricultural, forestry and fishery products, since there is no way to identify the individual agricultural, forestry and fishery products, so that counterfeiting such as the shipping source of agricultural, forestry and fishery products is prevented. I couldn't.
また、ラベルの貼り付けができなかったり、はがれてしまうなどの場合に、個品毎の在庫管理情報を検索することができなかった。
Also, inventory management information for each individual item could not be retrieved when the label could not be attached or peeled off.
また、ラベルのような貼付物に代えて、ICタグのようなものを農林水産物に埋め込むことも考えられるが、農林水産物に傷を与えるなど、商品価値が低下してしまう。また、ICタグを用いるので、システム全体として高価となる課題があった。
In addition, it is conceivable to embed an IC tag or the like in an agricultural, forestry or fishery product instead of a sticky material such as a label. Further, since an IC tag is used, there is a problem that the entire system is expensive.
そこで、本発明は上記課題に鑑みて発明されたものであって、その目的はICタグなどの特別な装置が不要で、照合対象物に関する情報の照合や検索ができる照合および検索システム、照合および検索サーバ、照合および検索方法、特徴抽出装置、照合および検索装置及びプログラムを提供することにある。
Accordingly, the present invention has been invented in view of the above-described problems, and its purpose is not to use a special device such as an IC tag, and a collation and retrieval system capable of collating and retrieving information on a collation target, collation and A search server, a collation and retrieval method, a feature extraction apparatus, a collation and retrieval apparatus, and a program are provided.
本発明は、正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像を撮像する第1の撮像手段と、前記第1の撮像手段で撮像された照合対象物の画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第1の特徴計算手段と、前記第1の特徴計算手段で計算された正規品の照合対象物の輪郭の形状及び位置の特徴が記録されている記録手段と、真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像を撮像する第2の撮像手段と、前記第2の撮像手段で撮像された照合対象物の画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第2の特徴計算手段と、前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段とを有する照合・検索システムである。
The present invention includes a first imaging unit that captures an image including a predetermined part and an outline of a verification target that is a regular product or a management target, and an image of the verification target captured by the first imaging unit. A first feature calculation means for calculating the contour shape and position features of the object to be verified with reference to a predetermined part; and the contour shape of the regular object to be verified calculated by the first feature calculator; A recording unit in which a feature of the position is recorded; a second imaging unit that captures an image including a predetermined portion and an outline of a verification target to be verified; and a verification that is captured by the second imaging unit Second feature calculation means for calculating the shape and position characteristics of the contour of the verification target based on the predetermined part from the image of the target; and the contour shape of the verification target that is the genuine product or the management target And the characteristics of the position and the authenticity A matching and retrieval system and a collating means for collating the features of contour shape and position of the collation object focus.
本発明は、正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第1の特徴計算手段と、真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第2の特徴計算手段と、前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段とを有する照合・検索サーバである。
The present invention provides a first feature calculation for calculating a feature of a contour shape and a position of a collation target with reference to the predetermined portion from an image including a predetermined portion and contour of a collation target that is a regular product or a management target. And second feature calculation means for calculating the shape and position features of the contour of the collation target with reference to the predetermined portion from the image including the predetermined portion and contour of the collation target to be verified. A collation / retrieval server having collation means for collating the shape and position characteristics of the outline of the collation target object that is the genuine product or the management object with the outline shape and position characteristics of the collation target object of the authenticity collation It is.
本発明は、正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算し、前記計算された正規品の照合対象物の輪郭の形状及び位置の特徴を記憶し、真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算し、前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合・検索方法である。
The present invention calculates the feature of the shape and position of the contour of the collation target based on the predetermined portion from the image including the predetermined portion and contour of the collation target that is a regular product or a management target, and the calculated The shape and position characteristics of the contour of the verification target object of the genuine product are stored, and from the image including the predetermined part and contour of the verification target object to be verified, the contour of the verification target object based on the predetermined part Collation that calculates shape and position features and collates the contour shape and position features of the genuine or managed object to be collated with the contour and shape features of the object to be collated・ It is a search method.
本発明は、正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する処理と、真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する処理と、前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する処理とをコンピュータに実行させるプログラムである。
The present invention relates to a process for calculating the shape and position characteristics of the contour of a verification target with reference to the predetermined portion from an image including the predetermined portion and contour of a verification target that is a regular product or a management target, and authenticity verification. Processing for calculating the contour shape and position characteristics of the object to be verified with reference to the predetermined part from the image including the predetermined part and contour of the object to be verified, and verification that is the genuine product or the management target It is a program for causing a computer to execute a process of collating the shape and position characteristics of the contour of the object with the contour shape and position characteristics of the collation target of the verification.
本発明は、正規品あるいは管理対象である照合対象物、又は、真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する特徴計算手段を有する特徴抽出装置である。
The present invention relates to the shape of the outline of the verification object based on the predetermined part from the image including the predetermined part and the outline of the verification object that is a genuine product or a management target, or the verification target that is the target of authenticity verification. And a feature extraction device having feature calculation means for calculating the feature of the position.
本発明は、正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第1の特徴計算手段と、真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第2の特徴計算手段と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段とを有する照合・検索装置である。 The present invention provides a first feature calculation for calculating a feature of a contour shape and a position of a collation target with reference to the predetermined portion from an image including a predetermined portion and contour of a collation target that is a regular product or a management target. And second feature calculation means for calculating the shape and position features of the contour of the collation target with reference to the predetermined portion from the image including the predetermined portion and contour of the collation target to be verified. ,
A collation / retrieval device having collation means for collating the shape and position characteristics of the outline of the verification object that is the genuine product or the management target with the outline shape and position characteristics of the verification target object of the authenticity verification is there.
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段とを有する照合・検索装置である。 The present invention provides a first feature calculation for calculating a feature of a contour shape and a position of a collation target with reference to the predetermined portion from an image including a predetermined portion and contour of a collation target that is a regular product or a management target. And second feature calculation means for calculating the shape and position features of the contour of the collation target with reference to the predetermined portion from the image including the predetermined portion and contour of the collation target to be verified. ,
A collation / retrieval device having collation means for collating the shape and position characteristics of the outline of the verification object that is the genuine product or the management target with the outline shape and position characteristics of the verification target object of the authenticity verification is there.
本発明は、ICタグなどの特別な装置が不要で、照合対象物を照合、あるいは、管理情報の検索を実行することができる
The present invention does not require a special device such as an IC tag, and can collate the object to be collated or search for management information.
本発明の第1の実施の形態を説明する。
A first embodiment of the present invention will be described.
図1は本発明の実施の形態のブロック図である。
FIG. 1 is a block diagram of an embodiment of the present invention.
本発明の第1の実施の形態は、真正品である照合対象物の所定部位及び輪郭を含む画像を撮像する撮像部1と、撮像部1で撮像された画像から所定部位を検出し、この所定部位を基準として正規化された真正品である照合対象物の輪郭の位置及び形状の特徴を計算する特徴計算部2と、特徴計算部2で計算された真正品の照合対象物の輪郭の位置及び形状の特徴が記録される記録部3と、真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像を撮像する撮像部4と、撮像部4で撮像された照合対象物の画像から所定部位を検出し、この所定部位を基準として正規化された真贋照合の対象となる照合対象物の輪郭の位置及び形状の特徴を計算する特徴計算部5と、真正品である照合対象物の輪郭の位置及び形状の特徴と、真贋照合の照合対象物の輪郭の位置及び形状の特徴とを照合する照合部6とを有する照合・検索システムである。
The first embodiment of the present invention detects an image capturing unit 1 that captures an image including an image including a predetermined region and an outline of a verification target object that is a genuine product, and detects a predetermined region from an image captured by the image capturing unit 1. A feature calculation unit 2 that calculates the features of the contour and position of a matching object that is a genuine product normalized with respect to a predetermined part, and the contour of the genuine product that is calculated by the feature calculation unit 2 The recording unit 3 in which the features of the position and the shape are recorded, the imaging unit 4 that captures an image including a predetermined part and outline of the verification target object that is the target of authentication verification, and the verification target image captured by the imaging unit 4 A feature calculation unit 5 that detects a predetermined part from the image and calculates the feature of the position and shape of the contour of the object to be verified that is normalized with reference to the predetermined part, and a verification target that is a genuine product Features of the position and shape of the contour of an object and authentication A matching and retrieval system having a matching portion 6 for matching the characteristics of the position and shape of the contour of the collation object.
農林水産部や鉄鋼等の工業製品などは、同一製品(品種)として扱われるものであっても、個々の個体が全く同一でなく、形状が個々に異なっている。このため、個体に貼り付けられたラベル、あるいは、梱包された箱、外装が同一であっても、その個体の形状、位置、姿勢はそれぞれ個々に異なる。
Even though industrial products such as the Agriculture, Forestry and Fisheries Department and steel are handled as the same product (variety), the individual pieces are not exactly the same and the shapes are different. For this reason, even if the label affixed to the individual, the packaged box, or the exterior is the same, the shape, position, and posture of the individual are different from each other.
そこで、本発明は、ラベルや外装等の所定部位を基準として定められる照合対象物の輪郭形状が各個体・ロットごとに異なることを利用して、真贋照合の照合対象物が登録されている真正品と同一であるかどうかを照合するものである。
Therefore, the present invention uses the fact that the contour shape of the verification target object determined based on a predetermined part such as a label or an exterior is different for each individual / lot, and the authenticity verification target object registered is registered. It is to check whether it is the same as the product.
ここで、本発明が適用される照合対象物は、輪郭が各個体によって異なるようなものであれば、特に限定されないが、輪郭が各個体によって異なるようなもの例として、果物、野菜、食肉、魚、木材などの農林水産物や、例えば、ロットごとに異なる鉄鋼材などの工業製品などがある。
Here, the matching object to which the present invention is applied is not particularly limited as long as the contour is different for each individual, but examples of the contour being different for each individual are fruits, vegetables, meat, There are agricultural, forestry and fishery products such as fish and timber, and industrial products such as steel materials that differ from lot to lot.
また、照合対象物の所定部位とは、照合対象物に貼付されたラベルや、照合対象物を包装する外装やパッケージ(箱)、または、照合対象物が持つ個体によらない特徴的な部位などである。
In addition, the predetermined part of the verification target is a label affixed to the verification target, an exterior or package (box) that wraps the verification target, or a characteristic part that does not depend on the individual of the verification target It is.
以下の説明においては、照合対象物として木材を、所定部位として木材に貼られたラベルを例にして説明する。また、生産者や、流通管理者により、記録部3に登録される照合対象物を正規品と記載し、流通管理者や消費者等により真贋照合される照合対象物を真贋照合対象物と記載する。
In the following explanation, wood is used as an object to be verified, and a label attached to wood as a predetermined part is explained as an example. Further, the verification object registered in the recording unit 3 by the producer or the distribution manager is described as a genuine product, and the verification object to be verified by the distribution manager or the consumer is described as the authenticity verification object. To do.
撮像部1は、正規品あるいは在庫管理対象の木材10の所定部位(ラベル11)を含む木材の画像を撮像するものである。正規品の木材を撮像する為に特別の装置を設けても良いが、CCDやCMOS等を備えたデジタルカメラや、携帯電話等でもかまわない。
The imaging unit 1 captures an image of wood including a predetermined part (label 11) of the wood 10 that is a regular product or inventory management target. A special device may be provided for imaging regular wood, but a digital camera equipped with a CCD, a CMOS, or a mobile phone may also be used.
図2は、登録される正規品の木材10の断面を示した図である。図2に示されるごとく、木材10にはラベル11が貼られている。尚、ラベル11の貼付位置は特に限定されないが、撮像部1により木材10の断面を撮影される際に、全てが撮影できるような位置に貼付されることが好ましい。撮像部1は、図2に示されるように、ラベル11を含む木材10の全体の画像が撮像できるように撮影する。
FIG. 2 is a diagram showing a cross section of a regular wood 10 to be registered. As shown in FIG. 2, a label 11 is attached to the wood 10. In addition, although the sticking position of the label 11 is not specifically limited, when the cross section of the timber 10 is image | photographed by the imaging part 1, it is preferable to stick on the position which can image | photograph all. As illustrated in FIG. 2, the imaging unit 1 captures an image so that an entire image of the wood 10 including the label 11 can be captured.
なお、年輪の中心や所定の図形を彫刻あるいは書き込んだ痕などで、個体によらずその位置・向きが特定可能な見え方の特徴を持つ領域が存在する対象物であれば、当該部位を、ラベルに代用することができ、ラベルは不要である。以下ではこのような所定領域が存在しラベルを用いない場合も、前記所定領域をラベルと記す。
In addition, if the object has a region with a visible feature that can specify the position and orientation regardless of the individual, such as the center of the annual ring or a mark engraved or written a predetermined figure, the part, A label can be substituted, and no label is required. Hereinafter, even when such a predetermined area exists and no label is used, the predetermined area is referred to as a label.
また、所定部位は、照合対象物中において、個体によらない特徴を持つ見え方の領域であるので、例えば、文献(細井利憲、鈴木哲明、佐藤敦、一般化学習ベクトル量子化による顔検出、電子情報通信学会技術研究報告、巻:102 号:651(PRMU2002 201-210) 頁:47-52)のような技術を用いて、画像中の場所を自動的に特定することが可能であり、自動的に所定部位を基準とした画像を撮像することもできる。
In addition, since the predetermined part is a region of appearance having characteristics that do not depend on an individual in the verification target, for example, literature (Toshinori Hosoi, Tetsuaki Suzuki, Satoshi Sato, face detection by generalized learning vector quantization, It is possible to automatically specify the location in the image by using a technology such as IEICE Technical Report, Volume 102 No. 651 (PRMU2002 201-210) pages 47-52), It is also possible to automatically take an image based on a predetermined part.
また、本技術はあくまで一例で、公知の様々なパターン検出技術を利用可能である。更に、撮像された画像のファイル形式も問わず、JPEG等で良い。尚、正規品の撮影は、生産に係る者(例えば、生産農家或は農業協同組合、工場)や、流通過程において照合対象物の品質管理を行う者が撮影するが、これらの者に限定されるものではない。
In addition, this technique is merely an example, and various known pattern detection techniques can be used. Further, JPEG or the like may be used regardless of the file format of the captured image. In addition, the photograph of the genuine product is photographed by a person who is involved in production (for example, a production farmer, an agricultural cooperative, or a factory) or a person who performs quality control of an object to be verified in the distribution process, but is limited to these persons. It is not something.
特徴計算部2は、撮像部1で撮像された木材10の画像からラベル11を検出し、このラベル11を基準として正規化された真正品の木材10の輪郭の形状及び位置の特徴を計算する。
The feature calculation unit 2 detects the label 11 from the image of the wood 10 captured by the imaging unit 1 and calculates the shape and position features of the contour of the genuine wood 10 normalized using the label 11 as a reference. .
例えば、特徴計算部2は、木材10の画像から、背景等と木材10の色の違い等を利用し、木材10の領域を特定する。また、画像から、ラベル11の位置と形状を抽出し、位置や大きさの基準座標系に基づき特徴を計算する。
For example, the feature calculation unit 2 specifies a region of the wood 10 from the image of the wood 10 using a difference in color between the background and the wood 10. Further, the position and shape of the label 11 are extracted from the image, and the feature is calculated based on the reference coordinate system of the position and size.
尚、ラベル11の特徴をあらかじめ登録データとして記憶しておくことにより、バーコードなど既定のパターンでなく、自由なデザインのラベルあるいは外装のパターンを基準として用いることが可能になる。具体的には、ラベル11の形状、色、その配置及び大きさや、ラベルに記載されている文字などといった特徴を、ラベル11を検出するために予め記憶しておく。このようにすれば、画像の中からラベル11を検出することができる。
In addition, by storing the characteristics of the label 11 as registered data in advance, it is possible to use a label of a free design or an exterior pattern as a reference instead of a predetermined pattern such as a barcode. Specifically, features such as the shape, color, arrangement and size of the label 11, characters written on the label, and the like are stored in advance for detecting the label 11. In this way, the label 11 can be detected from the image.
更に、特徴計算部2は、ラベル11に基づいた木材10の輪郭の形状及び位置の特徴を計算するための基準となる基準座標系を定めておく。図3は、ラベル11の天地方向天側の端点12を原点とし、ラベル11の横方向をX軸、ラベル11の縦方向をY軸とする基準座標系の例である。
Furthermore, the feature calculation unit 2 determines a reference coordinate system that serves as a reference for calculating the contour shape and position features of the wood 10 based on the label 11. FIG. 3 is an example of a reference coordinate system in which the top end 12 of the label 11 is the origin, the horizontal direction of the label 11 is the X axis, and the vertical direction of the label 11 is the Y axis.
これらの設定後、図4に示す如く、特徴計算部2は、撮像部1で撮像された木材10の画像からラベル11を検出すると共に、木材10の輪郭を抽出し、その輪郭を基準座標系に正規化し、原点から輪郭距離θなどのように形状及び位置の特徴を計算する。輪郭の抽出については、“電子情報通信学会論文誌”97/6 Vol. J-80-D-II No6、領域間の分離度に基づく物体輪郭抽出”に記載された技術を用いることができる。
After these settings, as shown in FIG. 4, the feature calculation unit 2 detects the label 11 from the image of the wood 10 captured by the imaging unit 1, extracts the contour of the wood 10, and uses the contour as a reference coordinate system. And shape and position features such as contour distance θ from the origin are calculated. For the outline extraction, the technique described in “Journal of the Institute of Electronics, Information and Communication Engineers” 97/6 Vol.-J-80-D-II No6, Object contour extraction based on the degree of separation between regions can be used.
尚、撮像部1で撮像される画像は、図5に示すようにラベルの天地が正しく撮影されるとは限らない。そのような場合であっても、特徴計算部2は、ラベル11の位置を正しく認識することができれば、図6のように座標系か回転した形であっても、木材10の輪郭の形状及び位置を基本座標系で特定することができる。
In addition, as for the image imaged with the imaging part 1, the top of a label is not necessarily image | photographed correctly as shown in FIG. Even in such a case, if the feature calculation unit 2 can correctly recognize the position of the label 11, even if the coordinate system is rotated as shown in FIG. The position can be specified in the basic coordinate system.
記憶部3には、特徴計算部2で計算された正規品の木材10のラベル11を基準とした輪郭の形状及び位置の特徴が記憶される。尚、ひとつの正規品に対して、その正規品の生産地又は製造地や、生産者名又は製造者、品種、栽培方法、収穫日、製造日、品質情報(糖度等)、食べ頃、原材料、ロット番号等の生産情報や、出荷場所や出荷日等の流通情報等と関連付けて記憶させても良い。このようにすることにより、正規品の生産管理や流通管理を行うことができる。
The storage unit 3 stores the shape and position features of the contour based on the label 11 of the genuine wood 10 calculated by the feature calculation unit 2. In addition, with respect to one regular product, the production area or production site of the regular product, producer name or manufacturer, variety, cultivation method, harvest date, production date, quality information (sugar content, etc.), eating time, raw materials, It may be stored in association with production information such as a lot number, distribution information such as a shipping location and a shipping date, and the like. By doing in this way, production management and distribution management of a regular article can be performed.
撮像部4は、消費者等による真贋照合対象物の照合を行う側に存在し、撮像部1と同様な構成である。照合を要求する消費者等は、真贋照合対象物である木材のラベルを含む画像を撮像する。撮像された画像は、特徴計算部5に送信される。
The imaging unit 4 exists on the side where a consumer or the like performs verification of an authentic verification target, and has the same configuration as the imaging unit 1. A consumer or the like who requests collation captures an image including a label of wood, which is an authentic collation target. The captured image is transmitted to the feature calculation unit 5.
特徴計算部5は、上述した特徴計算部2と同様な構成であり、真贋照合対象物である木材の画像からラベル11を検出し、ラベル11を基準にした木材の輪郭の形状及び位置の特徴を計算する。そして、計算した真贋照合対象物の木材の特徴を照合部6に送信する。
The feature calculation unit 5 has the same configuration as the feature calculation unit 2 described above, detects the label 11 from the image of the wood that is the object of authenticity verification, and features the shape and position of the contour of the wood based on the label 11. Calculate Then, the calculated feature of the wood of the authentic verification target object is transmitted to the verification unit 6.
照合部6は、特徴計算部5からの真贋照合対象物の木材の特徴と、記録部3に記録されている正規品の特徴とを照合し、いずれの正規品であるかを識別する。
The collation unit 6 collates the wood feature of the authenticity verification target object from the feature calculation unit 5 with the feature of the regular product recorded in the recording unit 3, and identifies which of the regular products it is.
以上の如く、本実施の形態によれば、照合に輪郭の特徴を用いることで、ラベルや外装が偽装されて貼り換えられた場合、ラベルや外装を基準とする真贋照合対象物の輪郭の位置や姿勢が変化するので、偽装あるいは誤りを判定することができる。また、ラベルの位置向きがわかってもラベル自体による個体識別が困難な場合にも、同様にラベルや外装を基準とする真贋照合対象物の輪郭の位置や姿勢が個体毎に異なるため、個体毎の管理情報を検索することが可能である。
As described above, according to the present embodiment, when the feature of the contour is used for collation, when the label or the exterior is disguised and pasted, the position of the contour of the authenticity verification target with reference to the label or the exterior And the posture changes, so that it is possible to determine impersonation or an error. In addition, even if the position of the label is known and the individual identification by the label itself is difficult, the position and orientation of the outline of the object to be verified with reference to the label and the exterior are also different for each individual. It is possible to search for management information.
また、ラベルや外装は本物であるが、正規品自体が偽物にすりかえられた場合であっても、個体自体の輪郭は個々に異なり、ラベルや外装を基準とする輪郭の形状及び位置も変化するので、その偽装あるいは誤りを判定することができる。
In addition, although the label and the exterior are genuine, even if the genuine product itself is replaced with a fake, the contour of the individual itself is different, and the shape and position of the contour based on the label and the exterior also change. Therefore, the impersonation or error can be determined.
尚、上述した特徴計算部2、特徴計算部3及び照合部は、正規品を登録する生産者や管理者等側、又は、真贋照合する管理者や消費者側にある必要はなく、ひとつの照合サーバのような形で照合処理側に設けていても良い。
The feature calculation unit 2, the feature calculation unit 3 and the collation unit described above do not need to be on the producer or manager side for registering the genuine product, or on the manager or consumer side for authentic verification. You may provide in the collation process side in the form like a collation server.
次に、本発明の第2の実施の形態を説明する。
Next, a second embodiment of the present invention will be described.
上述した第1の実施の形態では、照合・検索対象物である個体が単数の場合を説明した。しかし、本発明は照合・検索対象物が複数の個体からなるセットであるような場合であっても適用することができる。
In the first embodiment described above, the case where there is a single individual that is an object to be collated and searched has been described. However, the present invention can be applied even when the collation / search object is a set of a plurality of individuals.
そこで、第2の実施の形態では、照合対象物が複数の個体からなるような場合の例を説明する。
Therefore, in the second embodiment, an example will be described in which the verification target is composed of a plurality of individuals.
照合対象物が複数の個体からなるような場合の例としては、複数の個体がまとめてひとつに外装(パッケージ)されている場合などが考えられる。例えば、図7のように、イチゴなどは、一つのトレイ20に複数のイチゴが詰められてラッピングされて販売される形態を取っている。このような場合、イチゴの配列は個々に異なり、図7に示されるように複数のイチゴが形成する輪郭も、それぞれに異なる。従って、このような複数の個体から成るものをひとつの照合対象物とすれば、その照合対象物とこの照合対象物を形成する複数の個体が作る輪郭とは一対一の関係となり、この関係を照合対象物の照合に利用することができる。
As an example of the case where the verification target object is composed of a plurality of individuals, a case where a plurality of individuals are collectively packaged together is conceivable. For example, as shown in FIG. 7, strawberries and the like are in a form in which a plurality of strawberries are packed in one tray 20 and wrapped and sold. In such a case, the arrangement of strawberries differs individually, and the contours formed by a plurality of strawberries as shown in FIG. 7 are also different. Therefore, if such an object composed of a plurality of individuals is used as one object to be verified, the object to be verified and the contour formed by the plurality of individuals forming the object to be verified have a one-to-one relationship. It can be used for collation of collation objects.
以下の説明では、複数のイチゴがひとつのトレイにパッケージ化された状態を、ひとつの照合対象物とする例を説明する。尚、照合システムの構成は同様なものなので、相違する点のみを説明する。
In the following description, an example will be described in which a state in which a plurality of strawberries are packaged in one tray is used as one object to be verified. Since the configuration of the verification system is the same, only the differences will be described.
まず、パッケージ化されたイチゴの全体画像を撮像する。このとき、イチゴだけではなく、イチゴが詰められているトレイも含めた画像を撮像する。
First, take an image of the entire packaged strawberry. At this time, an image including not only strawberries but also a tray packed with strawberries is taken.
特徴物計算部2では、イチゴが詰められているトレイを所定部位として、予め基準座標系を定めておく。図8の例では、トレイの左上に貼られているラベル21からトレイ20の左上の端点を検出し、この端点を原点とし、トレイの横方向をX軸、トレイの縦方向をY軸とする基準座標系を定める。そして、特徴計算部2は、撮像部1で撮像された画像からトレイ20及びラベル21を検出し、このトレイ20を基準として正規化された複数のイチゴから成る輪郭の形状及び位置の特徴を計算する。計算された特徴は、記憶部3に登録される。尚、ひとつの正規品に対して、その正規品の生産地又は製造地や、生産者名又は製造者、品種、栽培方法、収穫日、製造日、品質情報(糖度等)、食べ頃、原材料、ロット番号等の生産情報や、出荷場所や出荷日等の流通情報等と関連付けて記憶させても良い。このようにすることにより、正規品の生産管理や流通管理を行うことができる。
The feature object calculation unit 2 sets a reference coordinate system in advance with a tray filled with strawberries as a predetermined part. In the example of FIG. 8, the upper left end point of the tray 20 is detected from the label 21 stuck on the upper left side of the tray, this end point is set as the origin, the horizontal direction of the tray is the X axis, and the vertical direction of the tray is the Y axis. Define the reference coordinate system. Then, the feature calculation unit 2 detects the tray 20 and the label 21 from the image captured by the imaging unit 1, and calculates the feature of the contour shape and position composed of a plurality of strawberries normalized with the tray 20 as a reference. To do. The calculated feature is registered in the storage unit 3. In addition, with respect to one regular product, the production area or production site of the regular product, producer name or manufacturer, variety, cultivation method, harvest date, production date, quality information (sugar content, etc.), eating time, raw materials, It may be stored in association with production information such as a lot number, distribution information such as a shipping location and a shipping date, and the like. By doing in this way, production management and distribution management of a regular article can be performed.
消費者等による真贋照合対象物の照合を行う側に存在する撮像部4は、撮像部1と同様に、真贋照合対象物であるパッケージ化されたイチゴの全体画像を撮像する。撮像された画像は、特徴計算部5に送信される。
As with the imaging unit 1, the imaging unit 4 that exists on the side that performs verification of the authenticity verification target by the consumer or the like captures the entire image of the packaged strawberry that is the authenticity verification target. The captured image is transmitted to the feature calculation unit 5.
特徴計算部5は、上述した特徴計算部2と同様な構成であり、真贋照合対象物であるパッケージ化されたイチゴの全体画像からトレイ20を検出し、トレイ20を基準にして正規化された複数のイチゴから成る輪郭の形状及び位置の特徴を計算する。そして、計算した真贋照合対象物の木材の特徴を照合部6に送信する。
The feature calculation unit 5 has the same configuration as the feature calculation unit 2 described above, detects the tray 20 from the entire image of the packaged strawberry that is the object of authenticity verification, and is normalized with reference to the tray 20. Calculate the shape and position features of the contour consisting of multiple strawberries. Then, the calculated feature of the wood of the authentic verification target object is transmitted to the verification unit 6.
照合部6は、特徴計算部5からの真贋照合対象物のパッケージ化されたイチゴの特徴と、記録部3に記録されている正規品の特徴とを照合し、いずれの正規品であるかを識別する。
The collation unit 6 collates the packaged strawberry features of the authenticity verification object from the feature calculation unit 5 with the genuine product features recorded in the recording unit 3 to determine which regular product is the genuine product. Identify.
以上の如く、第2の実施の形態では、照合対象物が複数の個体から成るような場合であっても、複数の個体が形成する輪郭を照合に用いることにより、第1の実施の形態と同様に照合処理を行うことができる。
As described above, in the second embodiment, even when the object to be collated is composed of a plurality of individuals, the contour formed by the plurality of individuals is used for collation, so that Similarly, collation processing can be performed.
次に、第3の実施の形態を説明する。
Next, a third embodiment will be described.
第3の実施の形態は、照合対象物の輪郭の形状及び位置の特徴に加えて、照合対象物の輪郭内の照合対象物の表面パターンも照合に利用することを特徴とする。
The third embodiment is characterized in that, in addition to the feature of the contour shape and position of the verification target object, the surface pattern of the verification target object in the contour of the verification target object is also used for verification.
農林水産物や、皮などの工業製品の表面パターンが個体によって異なる。従って、画像から抽出した輪郭内の表面パターンも照合に用いれば、精度の高い個別照合ができる。尚、本発明が適用される照合対象物は、照合対象物の表面パターンが特徴的なものであれば、特に限定されないが、表面パターンが特徴的な照合対象物としては、例えば、メロン、いちご、りんご、レモン、なし、みかん、魚介類、木材などがある。また、照合対象物の表面パターンには、例えば、メロンの表面紋様や、いちごの表面の種の粒、生花の葉脈、魚の鱗、木材の木目や年輪等がある。
表面 Surface patterns of agricultural, forestry and fishery products and industrial products such as leather vary from individual to individual. Therefore, if the surface pattern in the contour extracted from the image is also used for collation, individual collation with high accuracy can be performed. The matching object to which the present invention is applied is not particularly limited as long as the surface pattern of the matching object is characteristic. Examples of the matching object having a characteristic surface pattern include melon and strawberry. , Apples, lemons, none, tangerines, seafood, wood. The surface pattern of the object to be verified includes, for example, a surface pattern of melon, seed grains on the surface of a strawberry, fresh flower leaf veins, fish scales, wood grain and annual rings.
以下の説明においては、照合対象物としてパッケージ化されたイチゴを例にして説明する。
In the following explanation, a strawberry packaged as an object to be verified will be described as an example.
特徴部2は、上述した第2の実施の形態の動作に加えて、抽出した輪郭内の表面パターンも特徴として抽出する。図9は、抽出した輪郭内のイチゴの表皮の斑点を表面パターンの特徴として抽出した例を示した図である。特徴の抽出は、画像の輝度値、特徴点、2値化画像の線の変曲点、交点、端点及び中心点など、指紋の画像特徴の抽出技術を用いることができる。そして、抽出した正規品のパッケージ化されたイチゴの輪郭の形状、位置及び輪郭内の表面パターンの特徴は、記録部3に登録される。
The feature unit 2 extracts a surface pattern in the extracted contour as a feature in addition to the operation of the second embodiment described above. FIG. 9 is a diagram showing an example in which spots on the epidermis of the strawberry within the extracted contour are extracted as features of the surface pattern. The feature extraction may be performed using a technique for extracting image features of a fingerprint such as a luminance value of an image, a feature point, an inflection point of a line of a binarized image, an intersection, an end point, and a center point. The extracted regular product packaged strawberry outline shape, position, and surface pattern features in the outline are registered in the recording unit 3.
真贋照合側も同様な処理が行われ、照合部6に送信される。
The same processing is performed on the authenticity verification side, and is transmitted to the verification unit 6.
照合部6では、第2の実施の形態で述べた照合に加えて、表面パターンの照合も行われる。画像特徴の照合方法であるが、例えば、表皮パターンの線の端点、交点、角を特徴点(イチゴの表皮パターンのような場合には、表皮の斑点の中心を特徴点とする)とし、特徴点の配置を照合し、同じ位置(ある閾値以内の範囲)にある特徴点の組数が所定数以上である場合に同一と判定する。このような照合技術は、既存の指紋照合の技術を用いることができる。
The collation unit 6 performs collation of the surface pattern in addition to the collation described in the second embodiment. A method for matching image features. For example, the end points, intersections, and corners of epidermis pattern lines are used as feature points (in the case of strawberry epidermis patterns, the center of the epidermis spot is the feature point). The arrangement of the points is collated, and when the number of pairs of feature points at the same position (range within a certain threshold) is equal to or greater than a predetermined number, the points are determined to be the same. As such a collation technique, an existing fingerprint collation technique can be used.
以上の如く、第3の実施の形態によれば、照合対象物の輪郭の形状及び位置の特徴に加えて、照合対象物の輪郭内の照合対象物の表面パターンも照合に利用するので、より精度の高い照合処理を行うことができる。
As described above, according to the third embodiment, in addition to the shape and position characteristics of the contour of the verification target object, the surface pattern of the verification target object in the contour of the verification target is also used for verification. A highly accurate collation process can be performed.
以下に、上述した実施の形態における照合システムの具体的な実施例を述べる。
Hereinafter, specific examples of the collation system in the above-described embodiment will be described.
図10は照合・検索システムの実施例のブロック図である。
FIG. 10 is a block diagram of an embodiment of the collation / search system.
図10に示されるごとく、照合・検索システムは、照合対象物(例えば、木材)の生産・管理側に設置される特徴抽出装置100と、照合・検索を行う照合・検索サーバ200と、消費者の携帯電話300とを備える。
As shown in FIG. 10, the collation / retrieval system includes a feature extraction apparatus 100 installed on the production / management side of a collation target (for example, wood), a collation / search server 200 that performs collation / search, and a consumer. Mobile phone 300.
画像特徴抽出装置100は、撮像部101と、特徴計算部102と、送信部103とを有する。尚、撮像部101及び特徴計算部102は、上述した撮像部1及び特徴計算部2と同様な構成である。送信部103は、特徴計算部102で計算された照合対象物(例えば、木材)の画像特徴と、その照合の製造情報(生産地、生産者名、生産日、品質情報等)とを送信する。
The image feature extraction apparatus 100 includes an imaging unit 101, a feature calculation unit 102, and a transmission unit 103. The imaging unit 101 and the feature calculation unit 102 have the same configuration as the imaging unit 1 and the feature calculation unit 2 described above. The transmission unit 103 transmits the image feature of the verification target (for example, wood) calculated by the feature calculation unit 102 and the manufacturing information (production location, producer name, production date, quality information, etc.) of the verification. .
照合・検索サーバ200は、データベース201と、特徴計算部202と、照合・検索部203とを有する。特徴計算部202及び照合・検索部203は、上述した特徴計算部5及び照合部6と同様な構成である。データベース201には、生産者側の特徴抽出装置100から送信された木材のラベルを基準とした輪郭の形状及び位置の特徴と、その木材の生産情報とが関連付けて記憶される。
The collation / search server 200 includes a database 201, a feature calculation unit 202, and a collation / search unit 203. The feature calculation unit 202 and the collation / retrieval unit 203 have the same configuration as the feature calculation unit 5 and the collation unit 6 described above. In the database 201, features of the shape and position of the contour based on the wood label transmitted from the feature extraction apparatus 100 on the producer side and the production information of the wood are stored in association with each other.
携帯電話300は、撮像部301と、送受信部302とを有する。撮像部301は、上述した撮像部4と同様な構成である。送信部302は、撮像部301で撮像された木材のラベルを含む画像を、照合・検索サーバ200に送信する。また、照合・検索サーバ200からの判定結果を受信する。
The mobile phone 300 includes an imaging unit 301 and a transmission / reception unit 302. The imaging unit 301 has the same configuration as the imaging unit 4 described above. The transmission unit 302 transmits an image including a wood label imaged by the imaging unit 301 to the collation / search server 200. Also, the determination result from the collation / search server 200 is received.
次に、上記構成における動作を説明する。
Next, the operation in the above configuration will be described.
まず、照合対象物(例えば、木材)の特徴の登録動作について説明する。
First, the registration operation of the feature of the verification object (for example, wood) will be described.
生産者は、図2に示すような木材に貼付されたラベル11の特徴を予め特徴計算部102に登録しておく。そして、撮像部101により、ラベル11を含む木材の全体画像を撮影する。
The producer registers the feature of the label 11 attached to the wood as shown in FIG. Then, the whole image of the wood including the label 11 is taken by the imaging unit 101.
特徴計算部102は、撮像された木材10の画像から、ラベル11を検出し、検出されたラベル11を基準とする木材の輪郭の形状及び位置の特徴を計算する。
The feature calculation unit 102 detects the label 11 from the captured image of the wood 10 and calculates the feature of the shape and position of the contour of the wood based on the detected label 11.
また、生産者は、撮影した木材の生産情報(生産地、生産者名、生産日、品質情報等)を、特徴抽出装置100に入力する。そして、送信部103は、木材10の特徴とその木材の生産情報とを照合・検索サーバ200に送信する。
Further, the producer inputs the photographed wood production information (production location, producer name, production date, quality information, etc.) to the feature extraction apparatus 100. Then, the transmission unit 103 transmits the characteristics of the wood 10 and the production information of the wood to the collation / search server 200.
照合・検索サーバ200では、生産者の特徴抽出装置100からの木材の特徴とその木材の生産情報とを、データベース201に登録する。
The collation / search server 200 registers the characteristics of the wood from the producer's feature extraction apparatus 100 and the production information of the wood in the database 201.
続いて、照合処理の動作について説明する。
Subsequently, the operation of the verification process will be described.
消費者は、照合対象となる木材10の照合を行うため、携帯電話300の撮像部301により、ラベル11を含む木材10の全体画像を撮像する。撮像された画像は、送受信部302により、照合・検索サーバ200に送信される。
The consumer captures the entire image of the wood 10 including the label 11 by the imaging unit 301 of the mobile phone 300 in order to collate the wood 10 to be collated. The captured image is transmitted to the collation / search server 200 by the transmission / reception unit 302.
照合・検索サーバ200の画像特徴抽出装置202は、送られてきた画像から、上述した方法と同様な方法により、照合対象の木材10のラベル11を検出し、検出されたラベル11から木材10の輪郭の形状及び位置の特徴を計算する。そして、計算した特徴を照合・検索部203に出力する。
The image feature extraction apparatus 202 of the collation / search server 200 detects the label 11 of the wood 10 to be collated from the received image by the same method as described above, and the detected label 11 of the wood 10 is detected. Calculate contour shape and position features. The calculated feature is output to the collation / retrieval unit 203.
照合・検索部203では、受信した画像特徴と、データベース201に登録されている特徴と照合し、一致するものがあれば、その特徴と関連付けられている生産情報を読み出し、携帯電話300に送信する。一方、照合の結果、一致するものない場合には、照合対象の財布は偽装したものであることを通知する。
The collation / search unit 203 collates the received image feature with the feature registered in the database 201, and if there is a match, reads the production information associated with the feature and transmits it to the mobile phone 300. . On the other hand, if there is no match as a result of the verification, it is notified that the wallet to be verified is camouflaged.
携帯電話300では、照合・検索サーバ200から真贋判定の結果を受信し、消費者に報知する。
The mobile phone 300 receives the authentication result from the verification / search server 200 and notifies the consumer.
このように、本実施例では、消費者が特別の機材を持たなくても、製品の照合することができ、照合の結果、その製品の生産情報も取得することができる。また、消費者に限らず、流通を管理する側においても、生産情報を得られるので、生産物の流通管理を行うことができる。
Thus, in this embodiment, even if the consumer does not have special equipment, the product can be verified, and as a result of the verification, production information of the product can also be acquired. Further, not only the consumer but also the side managing the distribution can obtain the production information, so the distribution of the product can be managed.
尚、上述した実施例では、初めに照合対象物の特徴を抽出する特徴計算部102を、生産者側の装置に設置する構成としたが、照合・検索サーバ200の特徴計算部202と兼ねることもできる。この場合、生産者側からは、照合対象物の画像を送信するように構成する。
In the above-described embodiment, the feature calculation unit 102 that first extracts the feature of the matching target is configured to be installed in the producer's device, but also serves as the feature calculation unit 202 of the matching / search server 200. You can also. In this case, the producer side is configured to transmit an image of the verification object.
また、上述した実施例では、照合・検索サーバ200を設け、各消費者側が通信により、照合処理を行ったが、データベース201のような照合対象物の輪郭特徴が登録されているデータベースから、照合対象物の輪郭特徴を予めダウンロードしておき、通信を介さずに照合処理を行っても良い。このよう照合・検索端末装置は、図11に示す如く、生産者等に登録される照合対象物の輪郭特徴を記憶する記憶部300と、撮像部301と、特徴計算部302と、照合・検索部303と、表示部304とを備える。撮像部301と、特徴計算部302と、照合・検索部303は、上述した撮像部と、特徴計算部と、照合・検索部と同様な構成であり、表示部304は照合・検索部303の照合結果や、同一と判定された場合のその照合対象物の生産情報等が表示される。
Further, in the above-described embodiment, the collation / search server 200 is provided, and each consumer performs the collation processing by communication. However, the collation is performed from the database in which the contour feature of the collation target such as the database 201 is registered. The outline feature of the object may be downloaded in advance, and the matching process may be performed without communication. As shown in FIG. 11, the collation / search terminal device as described above includes a storage unit 300 that stores outline features of a collation target registered in a producer, an imaging unit 301, a feature calculation unit 302, and a collation / search. A unit 303 and a display unit 304 are provided. The imaging unit 301, the feature calculation unit 302, and the collation / search unit 303 have the same configuration as the above-described imaging unit, feature calculation unit, and collation / search unit, and the display unit 304 includes the collation / search unit 303. The collation result, production information of the collation target object when it is determined that they are identical, and the like are displayed.
尚、上述した説明からも明らかなように、特徴量計算部、照合部をハードウェアで構成することも可能であるが、コンピュータプログラムにより実現することも可能である。この場合、プログラムメモリに格納されているプログラムで動作するプロセッサによって、上述した実施の形態及び実施例と同様の機能、動作を実現させる。
As is clear from the above description, the feature amount calculation unit and the collation unit can be configured by hardware, but can also be realized by a computer program. In this case, functions and operations similar to those in the above-described embodiments and examples are realized by a processor that operates according to a program stored in the program memory.
また、上記の実施形態の一部又は全部は、以下の付記のようにも記載されうるが、以下には限られない。
Further, a part or all of the above-described embodiment can be described as in the following supplementary notes, but is not limited thereto.
(付記1) 正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像を撮像する第1の撮像手段と、
前記第1の撮像手段で撮像された照合対象物の画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第1の特徴計算手段と、
前記第1の特徴計算手段で計算された正規品の照合対象物の輪郭の形状及び位置の特徴が記録されている記録手段と、
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像を撮像する第2の撮像手段と、
前記第2の撮像手段で撮像された照合対象物の画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第2の特徴計算手段と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段と
を有する照合・検索システム。 (Additional remark 1) The 1st imaging means which images the image containing the predetermined part and outline of the collation target object which is a regular article or management object,
First feature calculation means for calculating features of the shape and position of the contour of the verification target with reference to the predetermined part from the image of the verification target image captured by the first imaging means;
Recording means for recording the contour shape and position features of the regular verification object calculated by the first feature calculation means;
A second image pickup means for picking up an image including a predetermined portion and a contour of a verification target object to be verified;
Second feature calculation means for calculating features of the shape and position of the contour of the verification target based on the predetermined part from the image of the verification target image captured by the second imaging means;
A collation / retrieval system comprising collation means for collating the shape and position characteristics of the genuine object or the object of collation to be managed with the outline shape and position characteristics of the object of collation for authenticity collation.
前記第1の撮像手段で撮像された照合対象物の画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第1の特徴計算手段と、
前記第1の特徴計算手段で計算された正規品の照合対象物の輪郭の形状及び位置の特徴が記録されている記録手段と、
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像を撮像する第2の撮像手段と、
前記第2の撮像手段で撮像された照合対象物の画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第2の特徴計算手段と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段と
を有する照合・検索システム。 (Additional remark 1) The 1st imaging means which images the image containing the predetermined part and outline of the collation target object which is a regular article or management object,
First feature calculation means for calculating features of the shape and position of the contour of the verification target with reference to the predetermined part from the image of the verification target image captured by the first imaging means;
Recording means for recording the contour shape and position features of the regular verification object calculated by the first feature calculation means;
A second image pickup means for picking up an image including a predetermined portion and a contour of a verification target object to be verified;
Second feature calculation means for calculating features of the shape and position of the contour of the verification target based on the predetermined part from the image of the verification target image captured by the second imaging means;
A collation / retrieval system comprising collation means for collating the shape and position characteristics of the genuine object or the object of collation to be managed with the outline shape and position characteristics of the object of collation for authenticity collation.
(付記2) 前記照合対象物は、農林水産物、又は、個体毎に輪郭の形状に差異が生じる工業製品、または、外装に対する固定位置・向きが個々に異なるため輪郭が異なる工業製品である
付記1に記載の照合・検索システム。 (Additional remark 2) The said collation target object is an industrial product from which an outline differs because the fixed position and direction with respect to an exterior differ individually from agriculture, forestry and fishery products, an industrial product from which a shape of an outline differs for every individual, or an exterior. The collation / search system described in 1.
付記1に記載の照合・検索システム。 (Additional remark 2) The said collation target object is an industrial product from which an outline differs because the fixed position and direction with respect to an exterior differ individually from agriculture, forestry and fishery products, an industrial product from which a shape of an outline differs for every individual, or an exterior. The collation / search system described in 1.
(付記3) 前記所定部位は、前記照合対象物に貼付されたラベル、前記照合対象物の外装、又は、照合対象物が持つ個体によらない特徴的な部位である
付記1又は付記2に記載の照合システム。 (Additional remark 3) The said predetermined | prescribed site | part is described in the additional remark 1 or the additional remark 2 which is the characteristic part which does not depend on the label affixed on the said collation target object, the exterior of the said collation target object, or the individual | carrying object has. Collation system.
付記1又は付記2に記載の照合システム。 (Additional remark 3) The said predetermined | prescribed site | part is described in the additional remark 1 or the additional remark 2 which is the characteristic part which does not depend on the label affixed on the said collation target object, the exterior of the said collation target object, or the individual | carrying object has. Collation system.
(付記4) 前記第1及び第2の特徴計算手段は、前記所定部位を基準する座標系に基づいて、前記照合対象物の輪郭の形状及び位置を正規化して特徴を計算する
付記1から付記3のいずれかに記載の照合システム。 (Additional remark 4) The said 1st and 2nd characteristic calculation means normalize the shape and position of the outline of the said collation target based on the coordinate system on the basis of the said predetermined part, and additional remarks from the additional remark 1 4. The verification system according to any one of 3.
付記1から付記3のいずれかに記載の照合システム。 (Additional remark 4) The said 1st and 2nd characteristic calculation means normalize the shape and position of the outline of the said collation target based on the coordinate system on the basis of the said predetermined part, and additional remarks from the additional remark 1 4. The verification system according to any one of 3.
(付記5) 照合対象物が複数の個体からなり、前記複数の個体が形成する輪郭を前記照合対象物の輪郭とする
付記1から付記4のいずれかに記載の照合システム。 (Supplementary note 5) The collation system according to any one of supplementary notes 1 to 4, wherein the collation target includes a plurality of individuals, and an outline formed by the plurality of individuals is an outline of the collation target.
付記1から付記4のいずれかに記載の照合システム。 (Supplementary note 5) The collation system according to any one of supplementary notes 1 to 4, wherein the collation target includes a plurality of individuals, and an outline formed by the plurality of individuals is an outline of the collation target.
(付記6) 前記第1及び第2の特徴計算手段は、前記照合対象物の輪郭の形状及び位置の特徴に加えて、前記照合対象物の輪郭内の前記照合対象物の表面パターンの特徴を計算し、
前記記録手段には、正規品の照合対象物の輪郭の形状及び位置の特徴と、前記輪郭内の表面パターンの特徴とが記憶され、
前記照合手段は、前記真正品である照合対象物の輪郭の形状、輪郭の位置及び輪郭内の表面パターンの特徴と、前記真贋照合の照合対象物の輪郭の形状、輪郭の位置及び輪郭内の表面パターンの特徴とを照合する
付記1から付記5のいずれかに記載の照合システム。 (Additional remark 6) The said 1st and 2nd characteristic calculation means in addition to the characteristic of the shape and position of the outline of the said collation target object WHEREIN: The characteristic of the surface pattern of the said collation target object in the outline of the said collation target object Calculate
The recording means stores the shape and position characteristics of the contour of the regular verification target object, and the characteristics of the surface pattern in the contour,
The collation means includes a contour shape, a contour position, and a feature of a surface pattern in the contour of the genuine collation target object, a contour shape, a contour position, and a contour pattern of the collation target object in the authenticity collation. 6. The collation system according to any one of appendix 1 to collation 5 for collating the characteristics of the surface pattern.
前記記録手段には、正規品の照合対象物の輪郭の形状及び位置の特徴と、前記輪郭内の表面パターンの特徴とが記憶され、
前記照合手段は、前記真正品である照合対象物の輪郭の形状、輪郭の位置及び輪郭内の表面パターンの特徴と、前記真贋照合の照合対象物の輪郭の形状、輪郭の位置及び輪郭内の表面パターンの特徴とを照合する
付記1から付記5のいずれかに記載の照合システム。 (Additional remark 6) The said 1st and 2nd characteristic calculation means in addition to the characteristic of the shape and position of the outline of the said collation target object WHEREIN: The characteristic of the surface pattern of the said collation target object in the outline of the said collation target object Calculate
The recording means stores the shape and position characteristics of the contour of the regular verification target object, and the characteristics of the surface pattern in the contour,
The collation means includes a contour shape, a contour position, and a feature of a surface pattern in the contour of the genuine collation target object, a contour shape, a contour position, and a contour pattern of the collation target object in the authenticity collation. 6. The collation system according to any one of appendix 1 to collation 5 for collating the characteristics of the surface pattern.
(付記7) 正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第1の特徴計算手段と、
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第2の特徴計算手段と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段と
を有する照合・検索サーバ。 (Additional remark 7) The 1st feature calculation which calculates the feature of the shape and position of the outline of a collation target on the basis of the predetermined part from the image containing the predetermined part and outline of the collation target which is a regular article or a management object Means,
Second feature calculation means for calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A collation / retrieval server comprising collation means for collating the shape and position characteristics of the outline of the verification object that is the genuine product or the management target with the outline shape and position characteristics of the verification target object of the authenticity verification.
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第2の特徴計算手段と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段と
を有する照合・検索サーバ。 (Additional remark 7) The 1st feature calculation which calculates the feature of the shape and position of the outline of a collation target on the basis of the predetermined part from the image containing the predetermined part and outline of the collation target which is a regular article or a management object Means,
Second feature calculation means for calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A collation / retrieval server comprising collation means for collating the shape and position characteristics of the outline of the verification object that is the genuine product or the management target with the outline shape and position characteristics of the verification target object of the authenticity verification.
(付記8) 前記照合対象物は、農林水産物、又は、個体毎に輪郭の形状に差異が生じる工業製品、または、外装に対する固定位置・向きが個々に異なるため輪郭が異なる工業製品、である付記7に記載の照合・検索サーバ。
(Supplementary Note 8) The supplementary note is an agricultural, forestry or fishery product, an industrial product that has a difference in contour shape for each individual, or an industrial product that has a different contour because the fixed position / orientation with respect to the exterior differs individually. 7. The collation / search server according to 7.
(付記9) 前記所定部位は、前記照合対象物に貼付されたラベル、前記照合対象物の外装又は、照合対象物が持つ個体によらない特徴的な部位である
付記7又は付記8に記載の照合・検索サーバ。 (Additional remark 9) The said predetermined | prescribed site | part is the characteristic part which does not depend on the label affixed on the said collation target object, the exterior of the said collation target object, or the individual | individual with which the collation target object has Collation / search server.
付記7又は付記8に記載の照合・検索サーバ。 (Additional remark 9) The said predetermined | prescribed site | part is the characteristic part which does not depend on the label affixed on the said collation target object, the exterior of the said collation target object, or the individual | individual with which the collation target object has Collation / search server.
(付記10) 前記第1及び第2の特徴計算手段は、前記所定部位を基準する座標系に基づいて、前記照合対象物の輪郭の形状及び位置を正規化して特徴を計算する
付記7から付記9のいずれかに記載の照合・検索サーバ。 (Additional remark 10) The said 1st and 2nd characteristic calculation means normalizes the shape and position of the outline of the said collation target based on the coordinate system on the basis of the said predetermined part, and additional remarks from the additional remark 7 9. The collation / search server according to any one of 9 above.
付記7から付記9のいずれかに記載の照合・検索サーバ。 (Additional remark 10) The said 1st and 2nd characteristic calculation means normalizes the shape and position of the outline of the said collation target based on the coordinate system on the basis of the said predetermined part, and additional remarks from the additional remark 7 9. The collation / search server according to any one of 9 above.
(付記11) 照合対象物が複数の個体からなり、前記複数の個体が形成する輪郭を前記照合対象物の輪郭とする
付記7から付記10のいずれかに記載の照合・検索サーバ。 (Supplementary note 11) The collation / search server according to any one of supplementary notes 7 to 10, wherein the collation target includes a plurality of individuals, and the contour formed by the plurality of individuals is the contour of the collation target.
付記7から付記10のいずれかに記載の照合・検索サーバ。 (Supplementary note 11) The collation / search server according to any one of supplementary notes 7 to 10, wherein the collation target includes a plurality of individuals, and the contour formed by the plurality of individuals is the contour of the collation target.
(付記12) 正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算し、
前記計算された正規品の照合対象物の輪郭の形状及び位置の特徴を記憶し、
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算し、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する
照合・検索方法。 (Additional remark 12) From the image containing the predetermined part and outline of the verification target object which is a regular article or a management object, the feature of the shape and position of the outline of the verification target based on the predetermined part is calculated,
Storing the calculated contour shape and position characteristics of the regular product to be verified;
From the image including the predetermined part and contour of the verification object to be verified, calculate the contour shape and position characteristics of the verification object with reference to the predetermined part,
A collation / retrieval method for collating the contour shape and position characteristics of the verification target object that is the genuine product or the management target with the contour shape and position characteristics of the verification target object of the authenticity verification.
前記計算された正規品の照合対象物の輪郭の形状及び位置の特徴を記憶し、
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算し、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する
照合・検索方法。 (Additional remark 12) From the image containing the predetermined part and outline of the verification target object which is a regular article or a management object, the feature of the shape and position of the outline of the verification target based on the predetermined part is calculated,
Storing the calculated contour shape and position characteristics of the regular product to be verified;
From the image including the predetermined part and contour of the verification object to be verified, calculate the contour shape and position characteristics of the verification object with reference to the predetermined part,
A collation / retrieval method for collating the contour shape and position characteristics of the verification target object that is the genuine product or the management target with the contour shape and position characteristics of the verification target object of the authenticity verification.
(付記13) 前記照合対象物は、農林水産物、個体毎に輪郭の形状に差異が生じる工業製品、又は、外装に対する固定位置・向きが個々に異なるため輪郭が異なる工業製品である
付記12に記載の照合・検索方法。 (Additional remark 13) The said collation target is described in the additional remark 12 which is an agricultural product which differs in the shape of an outline for every agriculture, forestry and fishery product, an individual, or an industrial product from which an outline differs because the fixed position and direction with respect to an exterior differ individually. Collation / search method.
付記12に記載の照合・検索方法。 (Additional remark 13) The said collation target is described in the additional remark 12 which is an agricultural product which differs in the shape of an outline for every agriculture, forestry and fishery product, an individual, or an industrial product from which an outline differs because the fixed position and direction with respect to an exterior differ individually. Collation / search method.
(付記14) 前記所定部位は、前記照合対象物に貼付されたラベル、前記照合対象物の外装、照合対象物が持つ個体によらない特徴的な部位である
付記12から付記13のいずれかに記載の照合・検索方法。 (Supplementary Note 14) The predetermined part is any one of Supplementary Note 12 to Supplementary Note 13, which is a label affixed to the verification target, an exterior of the verification target, and a characteristic part that does not depend on an individual of the verification target. The collation / search method described.
付記12から付記13のいずれかに記載の照合・検索方法。 (Supplementary Note 14) The predetermined part is any one of Supplementary Note 12 to Supplementary Note 13, which is a label affixed to the verification target, an exterior of the verification target, and a characteristic part that does not depend on an individual of the verification target. The collation / search method described.
(付記15) 前記所定部位を基準する座標系に基づいて、前記照合対象物の輪郭の形状及び位置を正規化して特徴を計算する
付記12から付記14のいずれかに記載の照合・検索方法。 (Supplementary note 15) The collation / retrieval method according to any one of supplementary note 12 to supplementary note 14, wherein a feature is calculated by normalizing a shape and a position of a contour of the verification target object based on a coordinate system based on the predetermined part.
付記12から付記14のいずれかに記載の照合・検索方法。 (Supplementary note 15) The collation / retrieval method according to any one of supplementary note 12 to supplementary note 14, wherein a feature is calculated by normalizing a shape and a position of a contour of the verification target object based on a coordinate system based on the predetermined part.
(付記16) 照合対象物が複数の個体からなり、前記複数の個体が形成する輪郭を前記照合対象物の輪郭とする
付記12から付記15のいずれかに記載の照合・検索方法。 (Supplementary note 16) The collation / search method according to any one of supplementary note 12 to supplementary note 15, wherein a collation target includes a plurality of individuals, and a contour formed by the plurality of individuals is defined as a contour of the collation target.
付記12から付記15のいずれかに記載の照合・検索方法。 (Supplementary note 16) The collation / search method according to any one of supplementary note 12 to supplementary note 15, wherein a collation target includes a plurality of individuals, and a contour formed by the plurality of individuals is defined as a contour of the collation target.
(付記17) 正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する処理と、
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する処理と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する処理と
を、コンピュータに実行させるプログラム。 (Additional remark 17) The process which calculates the feature of the shape and position of the outline of the collation target on the basis of the predetermined part from the image containing the predetermined part and the outline of the collation target which is a regular product or a management target
Processing for calculating the shape and position characteristics of the contour of the collation target with reference to the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A program that causes a computer to execute a process of comparing the shape and position characteristics of the contour of the verification target that is the genuine product or the management target with the contour shape and position characteristics of the verification target of the verification target.
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する処理と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する処理と
を、コンピュータに実行させるプログラム。 (Additional remark 17) The process which calculates the feature of the shape and position of the outline of the collation target on the basis of the predetermined part from the image containing the predetermined part and the outline of the collation target which is a regular product or a management target
Processing for calculating the shape and position characteristics of the contour of the collation target with reference to the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A program that causes a computer to execute a process of comparing the shape and position characteristics of the contour of the verification target that is the genuine product or the management target with the contour shape and position characteristics of the verification target of the verification target.
(付記18) 正規品あるいは管理対象である照合対象物、又は、真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する特徴計算手段を有する
特徴抽出装置。 (Additional remark 18) The shape of the outline of the verification object based on the predetermined part from the image including the predetermined part and the outline of the verification object that is a genuine product or a management target, or the verification target that is the target of the authenticity verification And a feature extraction device having feature calculation means for calculating the feature of the position.
特徴抽出装置。 (Additional remark 18) The shape of the outline of the verification object based on the predetermined part from the image including the predetermined part and the outline of the verification object that is a genuine product or a management target, or the verification target that is the target of the authenticity verification And a feature extraction device having feature calculation means for calculating the feature of the position.
(付記19) 正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第1の特徴計算手段と、
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第2の特徴計算手段と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段と
を有する照合・検索装置。 (Additional remark 19) The 1st feature calculation which calculates the feature of the shape and position of the outline of a collation target on the basis of the predetermined part from the picture containing the predetermined part and outline of the collation target which is a regular article or a management object Means,
Second feature calculation means for calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A collation / retrieval device comprising collation means for collating the shape and position characteristics of the genuine object or management target contour object with the contour shape and position characteristics of the collation target object for authenticity verification.
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第2の特徴計算手段と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段と
を有する照合・検索装置。 (Additional remark 19) The 1st feature calculation which calculates the feature of the shape and position of the outline of a collation target on the basis of the predetermined part from the picture containing the predetermined part and outline of the collation target which is a regular article or a management object Means,
Second feature calculation means for calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A collation / retrieval device comprising collation means for collating the shape and position characteristics of the genuine object or management target contour object with the contour shape and position characteristics of the collation target object for authenticity verification.
以上好ましい実施の形態及び実施例をあげて本発明を説明したが、本発明は必ずしも上記実施の形態及び実施例に限定されるものではなく、その技術的思想の範囲内において様々に変形し実施することが出来る。
Although the present invention has been described with reference to the preferred embodiments and examples, the present invention is not necessarily limited to the above-described embodiments and examples, and various modifications can be made within the scope of the technical idea. I can do it.
本出願は、2011年7月29日に出願された日本出願特願2011-166788号を基礎とする優先権を主張し、その開示の全てをここに取り込む。
This application claims priority based on Japanese Patent Application No. 2011-166788 filed on July 29, 2011, the entire disclosure of which is incorporated herein.
1,4 撮像部
2,5 特徴計算部
3 記録部
6 照合部 1, 4 Imaging unit 2, 5 Feature calculation unit 3 Recording unit 6 Verification unit
2,5 特徴計算部
3 記録部
6 照合部 1, 4 Imaging unit 2, 5 Feature calculation unit 3 Recording unit 6 Verification unit
Claims (19)
- 正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像を撮像する第1の撮像手段と、
前記第1の撮像手段で撮像された照合対象物の画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第1の特徴計算手段と、
前記第1の特徴計算手段で計算された正規品の照合対象物の輪郭の形状及び位置の特徴が記録されている記録手段と、
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像を撮像する第2の撮像手段と、
前記第2の撮像手段で撮像された照合対象物の画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第2の特徴計算手段と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段と
を有する照合・検索システム。 A first imaging means for imaging an image including a predetermined part and contour of a verification target that is a regular product or a management target;
First feature calculation means for calculating features of the shape and position of the contour of the verification target with reference to the predetermined part from the image of the verification target image captured by the first imaging means;
Recording means for recording the contour shape and position features of the regular verification object calculated by the first feature calculation means;
A second image pickup means for picking up an image including a predetermined portion and a contour of a verification target object to be verified;
Second feature calculation means for calculating features of the shape and position of the contour of the verification target based on the predetermined part from the image of the verification target image captured by the second imaging means;
A collation / retrieval system comprising collation means for collating the shape and position characteristics of the genuine object or the object of collation to be managed with the outline shape and position characteristics of the object of collation for authenticity collation. - 前記照合対象物は、農林水産物、又は、個体毎に輪郭の形状に差異が生じる工業製品、または、外装に対する固定位置・向きが個々に異なるため輪郭が異なる工業製品である
請求項1に記載の照合・検索システム。 2. The reference object according to claim 1, wherein the reference object is an agricultural, forestry, fishery product, an industrial product in which a contour shape is different for each individual, or an industrial product having a different contour because a fixed position / orientation with respect to the exterior is individually different. Collation / search system. - 前記所定部位は、前記照合対象物に貼付されたラベル、前記照合対象物の外装、又は、照合対象物が持つ個体によらない特徴的な部位である
請求項1又は請求項2に記載の照合システム。 The collation according to claim 1 or 2, wherein the predetermined part is a label affixed to the collation target, an exterior of the collation target, or a characteristic part that does not depend on an individual of the collation target. system. - 前記第1及び第2の特徴計算手段は、前記所定部位を基準する座標系に基づいて、前記照合対象物の輪郭の形状及び位置を正規化して特徴を計算する
請求項1から請求項3のいずれかに記載の照合システム。 The said 1st and 2nd feature calculation means normalizes the shape and position of the outline of the said collation target based on the coordinate system on the basis of the said predetermined | prescribed site | part, and calculates a feature. The verification system described in any one. - 照合対象物が複数の個体からなり、前記複数の個体が形成する輪郭を前記照合対象物の輪郭とする
請求項1から請求項4のいずれかに記載の照合システム。 The collation system according to any one of claims 1 to 4, wherein the collation target includes a plurality of individuals, and a contour formed by the plurality of individuals is used as a contour of the collation target. - 前記第1及び第2の特徴計算手段は、前記照合対象物の輪郭の形状及び位置の特徴に加えて、前記照合対象物の輪郭内の前記照合対象物の表面パターンの特徴を計算し、
前記記録手段には、正規品の照合対象物の輪郭の形状及び位置の特徴と、前記輪郭内の表面パターンの特徴とが記憶され、
前記照合手段は、前記真正品である照合対象物の輪郭の形状、輪郭の位置及び輪郭内の表面パターンの特徴と、前記真贋照合の照合対象物の輪郭の形状、輪郭の位置及び輪郭内の表面パターンの特徴とを照合する
請求項1から請求項5のいずれかに記載の照合システム。 The first and second feature calculation means calculate the feature of the surface pattern of the verification target object in the contour of the verification target object, in addition to the shape and position characteristics of the contour of the verification target object,
The recording means stores the shape and position characteristics of the contour of the regular verification target object, and the characteristics of the surface pattern in the contour,
The collation means includes a contour shape, a contour position, and a feature of a surface pattern in the contour of the genuine collation target object, a contour shape, a contour position, and a contour pattern of the collation target object in the authenticity collation. The collation system according to any one of claims 1 to 5, wherein collation is performed with a feature of a surface pattern. - 正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第1の特徴計算手段と、
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第2の特徴計算手段と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段と
を有する照合・検索サーバ。 First feature calculation means for calculating the shape and position features of the contour of the collation target based on the predetermined portion from an image including the predetermined portion and contour of the collation target that is a regular product or a management target;
Second feature calculation means for calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A collation / retrieval server comprising collation means for collating the shape and position characteristics of the outline of the verification object that is the genuine product or the management target with the outline shape and position characteristics of the verification target object of the authenticity verification. - 前記照合対象物は、農林水産物、又は、個体毎に輪郭の形状に差異が生じる工業製品、または、外装に対する固定位置・向きが個々に異なるため輪郭が異なる工業製品である請求項7に記載の照合・検索サーバ。 8. The verification object according to claim 7, wherein the object to be verified is an agricultural, forestry and fishery product, an industrial product in which a contour shape is different for each individual, or an industrial product having a different contour because a fixed position / orientation with respect to an exterior is individually different. Collation / search server.
- 前記所定部位は、前記照合対象物に貼付されたラベル、前記照合対象物の外装又は、照合対象物が持つ個体によらない特徴的な部位である
請求項7又は請求項8に記載の照合・検索サーバ。 The collation / claim according to claim 7 or 8, wherein the predetermined part is a label affixed to the collation target, an exterior of the collation target, or a characteristic part that does not depend on an individual of the collation target. Search server. - 前記第1及び第2の特徴計算手段は、前記所定部位を基準する座標系に基づいて、前記照合対象物の輪郭の形状及び位置を正規化して特徴を計算する
請求項7から請求項9のいずれかに記載の照合・検索サーバ。 The first and second feature calculation means calculate features by normalizing the shape and position of the contour of the object to be verified based on a coordinate system based on the predetermined part. The collation / search server described in any one. - 照合対象物が複数の個体からなり、前記複数の個体が形成する輪郭を前記照合対象物の輪郭とする
請求項7から請求項10のいずれかに記載の照合・検索サーバ。 The collation / search server according to any one of claims 7 to 10, wherein the collation target includes a plurality of individuals, and a contour formed by the plurality of individuals is used as a contour of the collation target. - 正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算し、
前記計算された正規品の照合対象物の輪郭の形状及び位置の特徴を記憶し、
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算し、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する
照合・検索方法。 From the image including the predetermined part and contour of the verification target object that is a regular product or management target, calculate the shape and position characteristics of the contour of the verification target based on the predetermined part,
Storing the calculated contour shape and position characteristics of the regular product to be verified;
From the image including the predetermined part and contour of the verification object to be verified, calculate the contour shape and position characteristics of the verification object with reference to the predetermined part,
A collation / retrieval method for collating the contour shape and position characteristics of the verification target object that is the genuine product or the management target with the contour shape and position characteristics of the verification target object of the authenticity verification. - 前記照合対象物は、農林水産物、個体毎に輪郭の形状に差異が生じる工業製品、又は、外装に対する固定位置・向きが個々に異なるため輪郭が異なる工業製品である
請求項12に記載の照合・検索方法。 The collation / verification according to claim 12, wherein the collation target is an agricultural / forestry / fishery product, an industrial product in which a contour shape is different for each individual, or an industrial product having a different contour because a fixed position / orientation with respect to an exterior is individually different. retrieval method. - 前記所定部位は、前記照合対象物に貼付されたラベル、前記照合対象物の外装、照合対象物が持つ個体によらない特徴的な部位である
請求項12から請求項13のいずれかに記載の照合・検索方法。 The said predetermined site | part is a characteristic site | part independent of the label affixed on the said collation target object, the exterior of the said collation target object, and the individual | individual which a collation target object has. Collation / search method. - 前記所定部位を基準する座標系に基づいて、前記照合対象物の輪郭の形状及び位置を正規化して特徴を計算する
請求項12から請求項14のいずれかに記載の照合・検索方法。 The collation / retrieval method according to any one of claims 12 to 14, wherein a feature is calculated by normalizing a shape and a position of a contour of the collation target based on a coordinate system based on the predetermined part. - 照合対象物が複数の個体からなり、前記複数の個体が形成する輪郭を前記照合対象物の輪郭とする
請求項12から請求項15のいずれかに記載の照合・検索方法。 The collation / retrieval method according to any one of claims 12 to 15, wherein the collation target includes a plurality of individuals, and a contour formed by the plurality of individuals is used as a contour of the collation target. - 正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する処理と、
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する処理と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する処理と
を、コンピュータに実行させるプログラム。 A process of calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target that is a genuine product or a management target;
Processing for calculating the shape and position characteristics of the contour of the collation target with reference to the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A program that causes a computer to execute a process of comparing the shape and position characteristics of the contour of the verification target that is the genuine product or the management target with the contour shape and position characteristics of the verification target of the verification target. - 正規品あるいは管理対象である照合対象物、又は、真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する特徴計算手段を有する
特徴抽出装置。 Features of the shape and position of the contour of the collation target based on the predetermined portion from the image including the predetermined portion and contour of the collation target that is a genuine product or a management target, or a collation target to be verified A feature extraction device having a feature calculation means for calculating. - 正規品あるいは管理対象である照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第1の特徴計算手段と、
真贋照合の対象となる照合対象物の所定部位及び輪郭を含む画像から、前記所定部位を基準とした照合対象物の輪郭の形状及び位置の特徴を計算する第2の特徴計算手段と、
前記真正品あるいは管理対象である照合対象物の輪郭の形状及び位置の特徴と、前記真贋照合の照合対象物の輪郭の形状及び位置の特徴とを照合する照合手段と
を有する照合・検索装置。 First feature calculation means for calculating the shape and position features of the contour of the collation target based on the predetermined portion from an image including the predetermined portion and contour of the collation target that is a regular product or a management target;
Second feature calculation means for calculating the shape and position characteristics of the contour of the collation target based on the predetermined portion, from an image including the predetermined portion and contour of the collation target to be verified.
A collation / retrieval device comprising collation means for collating the shape and position characteristics of the genuine object or management target contour object with the contour shape and position characteristics of the collation target object for authenticity verification.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2011166788 | 2011-07-29 | ||
JP2011-166788 | 2011-07-29 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2013018613A1 true WO2013018613A1 (en) | 2013-02-07 |
Family
ID=47629139
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/JP2012/068827 WO2013018613A1 (en) | 2011-07-29 | 2012-07-25 | Comparison system, comparison server, comparison method, characteristic extraction device, comparison/search device, and program |
Country Status (1)
Country | Link |
---|---|
WO (1) | WO2013018613A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020039567A1 (en) * | 2018-08-23 | 2020-02-27 | 日本電気株式会社 | Object collation device |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006146570A (en) * | 2004-11-19 | 2006-06-08 | National Agriculture & Bio-Oriented Research Organization | Individual authentication system and method and system for tracing farm product by using the same |
JP2007135501A (en) * | 2005-11-21 | 2007-06-07 | Atom System:Kk | Nose characteristic information-producing apparatus and nose characteristic information-producing program |
-
2012
- 2012-07-25 WO PCT/JP2012/068827 patent/WO2013018613A1/en active Application Filing
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006146570A (en) * | 2004-11-19 | 2006-06-08 | National Agriculture & Bio-Oriented Research Organization | Individual authentication system and method and system for tracing farm product by using the same |
JP2007135501A (en) * | 2005-11-21 | 2007-06-07 | Atom System:Kk | Nose characteristic information-producing apparatus and nose characteristic information-producing program |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020039567A1 (en) * | 2018-08-23 | 2020-02-27 | 日本電気株式会社 | Object collation device |
JPWO2020039567A1 (en) * | 2018-08-23 | 2021-08-10 | 日本電気株式会社 | Object matching device |
JP7215485B2 (en) | 2018-08-23 | 2023-01-31 | 日本電気株式会社 | Object matching device |
US11983864B2 (en) | 2018-08-23 | 2024-05-14 | Nec Corporation | Object matching device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP7001122B2 (en) | Distribution management method, distribution management device and distribution management system | |
US11983725B2 (en) | Collation/retrieval system, collation/retrieval server, image feature extraction apparatus, collation/retrieval method, and program | |
US10769399B2 (en) | Method for improper product barcode detection | |
US9436959B2 (en) | Individual product identification system, individual product identification method, and device and program used by same | |
JP2019055828A (en) | Shelf information estimation device and information processing program | |
WO2013018615A1 (en) | Comparison/search system, comparison/search server, image characteristic extraction device, comparison/search method, and program | |
US20240249086A1 (en) | Method for the identification, authentication, and tracking of physical assets | |
JP6688520B2 (en) | Trading system and trading method | |
WO2014112874A1 (en) | Method and system for providing product identification information | |
WO2013018613A1 (en) | Comparison system, comparison server, comparison method, characteristic extraction device, comparison/search device, and program | |
CN107908799A (en) | A kind of individual subject produces process video authentication approach | |
Vo | Traceability in the southern rock lobster (SRL) export supply chain: investigating lobster grading and identification using low-cost image-based biometrics | |
KR20240156756A (en) | System for extraction of feature point and analyzing vector for examining the genuineness of goods based on AI |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 12820397 Country of ref document: EP Kind code of ref document: A1 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 12820397 Country of ref document: EP Kind code of ref document: A1 |
|
NENP | Non-entry into the national phase |
Ref country code: JP |