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CN103793676A - Method and device for identifying anti-counterfeiting mark composed of two-dimensional code and raster graphic - Google Patents

Method and device for identifying anti-counterfeiting mark composed of two-dimensional code and raster graphic Download PDF

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Publication number
CN103793676A
CN103793676A CN201410053903.6A CN201410053903A CN103793676A CN 103793676 A CN103793676 A CN 103793676A CN 201410053903 A CN201410053903 A CN 201410053903A CN 103793676 A CN103793676 A CN 103793676A
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China
Prior art keywords
dot pattern
image
quick response
response code
code
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CN201410053903.6A
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Chinese (zh)
Inventor
姚为
万宏宇
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Beijing Leader Tech Digtal Technology Co Ltd
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Beijing Leader Tech Digtal Technology Co Ltd
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Priority to CN201410053903.6A priority Critical patent/CN103793676A/en
Publication of CN103793676A publication Critical patent/CN103793676A/en
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Abstract

The invention provides a method capable of identifying a two-dimensional code and a raster graphic at the same time. The method includes the following steps that the two-dimensional code is scanned, a two-dimensional code image is analyzed, a raster graphic ID after the analysis is extracted; the raster graphic is scanned, a raster graphic image is analyzed, and therefore a raster graphic ID after the analysis is extracted; the two raster graphic IDs are compared, and therefore whether the two raster graphic IDs are matched or not can be judged; according to a matched result, content information corresponding to the two raster graphic IDs at the same time is called in a database; the content information is broadcasted. A device adopting the method comprises a shell, a trigger, a mainboard provided with a central processing chip, a two-dimensional code scanning part, a raster graphic scanning part, a comparison module, a calling module and a feedback module. According to the method and device for identifying the anti-counterfeiting mark composed of the two-dimensional code and the raster graphic, the anti-counterfeiting mark implanted into the surface of an article and composed of the two-dimensional code and the raster graphic can be scanned at the same time, after the two raster graphic IDs are compared, relevant content is fed back, and the defect that the anti-counterfeiting mark cannot be identified at present is overcome.

Description

Method and the device of the anti-counterfeiting mark that identification Quick Response Code and dot pattern form
Technical field
The present invention relates to a kind of recognition methods, especially a kind of method and device of the anti-counterfeiting mark of identifying Quick Response Code and dot pattern formation.
Background technology
Quick Response Code has the advantages such as coded message capacity is large, reliability of decode is high, easy making because of it, be introduced in gradually field of anti-counterfeit technology, by the Quick Response Code of different patterns being distinguished to learn the true and false of these article.But, because Quick Response Code can be replicated easily or duplicate, in the time that the Quick Response Code after copying or duplicating is distinguished, still can learn the true and false of these article, therefore, Quick Response Code canned data is also dangerous.In addition, because the coding rule of Quick Response Code is comparatively simple, therefore, be also very easily cracked.Cracked by other people once be printed on the coding rule of the Quick Response Code on product, just cannot realize its effective effect, be difficult to fake and inferior commodities to carry out strong strike.
In order to solve the problem of above-mentioned two-dimension code anti-counterfeit weak effect, a kind of new approaches are there are, by Quick Response Code and a kind of antifalse mark of the combined formation of dot pattern.But, also it is not known to method for distinguishing at present for this kind of anti-counterfeiting mark.
Therefore,, in order to address the above problem, be badly in need of aly can knowing method for distinguishing to the anti-counterfeiting mark being formed by Quick Response Code and dot pattern.
Summary of the invention
For the weak point existing in the problems referred to above, the invention provides method and the device of the anti-counterfeiting mark that a kind of identification Quick Response Code that can identify the anti-counterfeiting mark being made up of Quick Response Code and dot pattern and dot pattern form.
For achieving the above object, the invention provides a kind of method of the anti-counterfeiting mark of identifying Quick Response Code and dot pattern formation, comprise the following steps:
Scanning forms the dot pattern in anti-counterfeiting mark, the dot pattern image obtaining is resolved, and distinguish the true and false of dot pattern;
Scanning forms the Quick Response Code in anti-counterfeiting mark, and the image in 2 D code obtaining is resolved, thereby extracts the dot pattern ID corresponding with Quick Response Code after resolving;
Dot pattern ID corresponding with Quick Response Code after resolving is contrasted with resolving dot pattern ID rear and that dot pattern is corresponding, to judge whether the two matches;
According to above-mentioned matching result, in database, call while and two content informations that dot pattern ID is corresponding;
Content information is reported.
Above-mentioned method, wherein, the concrete steps of said method are:
S1, starter gear, make recognition device energising and in holding state;
S2, judge whether Quick Response Code scanning module and dot pattern scanning module normally start, if judged result be normal, perform step S3, if judged result is undesired, perform step S4, feed back abnormal information;
S3, scanning are implanted in the Quick Response Code on article surface, and the image in 2 D code obtaining is resolved, thereby the dot pattern ID corresponding with Quick Response Code after resolving is placed in buffer memory;
S5, scanning are implanted in the dot pattern on article surface, and the dot pattern image obtaining is resolved, thereby the dot pattern ID after resolving is placed in buffer memory;
S6, to resolve after the dot pattern ID corresponding with Quick Response Code with resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, perform step S7, if judged result is no, perform step S4, feedback abnormal information;
S7, in database, search simultaneously and two content informations that dot pattern ID is corresponding, if lookup result be yes, perform step S8, if lookup result is no, perform step S4, feed back abnormal information;
S8, be invoked in database simultaneously and two content informations that dot pattern ID is corresponding;
S9, content information is reported.
Above-mentioned method, wherein, in step S3, getting after the image in 2 D code that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprises the following steps:
Filter out spectrum unnecessary in the image in 2 D code getting;
Catch remaining spectrum in image in 2 D code;
Regulate time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110~200.
Above-mentioned method, wherein, in step S5, getting after the dot pattern image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprises the following steps:
Filter out unnecessary spectrum in the dot pattern image getting;
Catch remaining spectrum in dot pattern image;
Regulate time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110~200.
Above-mentioned method, wherein, said method also comprises that following concrete steps are:
S10, starter gear, make recognition device energising and in holding state;
S20, judge whether Quick Response Code scanning module and dot pattern scanning module normally start, if judged result be normal, perform step S30, if judged result is undesired, perform step S40, feed back abnormal information;
S30, scanning form the dot pattern in anti-counterfeiting mark, the dot pattern image obtaining is resolved to obtain dot pattern ID, and be placed in buffer memory;
S50, distinguish the true and false of dot pattern in dot pattern image, if distinguish, result is true, performs step S60, if distinguish, result is false, performs step S40, feedback abnormal information;
S60, scanning are implanted in the Quick Response Code on article surface, and the image in 2 D code obtaining is resolved, thereby the dot pattern ID corresponding with Quick Response Code after resolving is placed in buffer memory;
S70, to resolve after the dot pattern ID corresponding with Quick Response Code with resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, perform step S80, if judged result is no, perform step S40, feedback abnormal information;
S80, in database, search simultaneously and two content informations that dot pattern ID is corresponding, if lookup result be yes, perform step S90, if lookup result is no, perform step S40, feed back abnormal information;
S90, be invoked in database simultaneously and two content informations that dot pattern ID is corresponding;
S100, content information is reported.
The present invention also provide a kind of identify anti-counterfeiting mark that Quick Response Code and dot pattern form device, comprise housing, trigger, be located at the mainboard with central processing element in housing, also comprise:
Dot pattern sweep test, is connected with described mainboard with described trigger, for dot pattern being scanned and the dot pattern image getting being resolved, thereby extracts the dot pattern ID after resolving;
Quick Response Code sweep test, is connected with described mainboard with described trigger, for Quick Response Code being scanned and the image in 2 D code getting being resolved, thereby extracts the dot pattern ID corresponding with Quick Response Code after resolving;
Contrast module, contrasts for the dot pattern ID that the dot pattern ID to corresponding with Quick Response Code after resolving is rear with parsing and dot pattern is corresponding;
Calling module, for calling while and two content informations that dot pattern ID is corresponding at database;
Feedback module, for reporting content information.
Above-mentioned device, wherein, described dot pattern sweep test comprises:
Dot pattern scan components, for the dot pattern that is implanted in article surface is scanned, to generate the dot pattern image that meets default grey level;
Dot pattern image analysis module, for dot pattern image is resolved, to convert several dot pattern ID corresponding thereto to;
Dot pattern ID extraction module, for placing buffer memory by the dot pattern ID after resolving.
Above-mentioned device, wherein, in described dot pattern scan components, comprising:
Dot pattern scanning module, for sending the light that can identify dot pattern, to obtain dot pattern image;
Dot pattern sensor devices, for the dot pattern image obtaining is processed, comprising:
Optical filter, for filtering out the unnecessary spectrum of dot pattern image getting;
Optical lens, for catching the remaining spectrum of dot pattern image;
Grey level unit, for regulating time shutter and figure frame per second, reaches between 110~200 the grey level of the complete image capturing.
Above-mentioned device, wherein, described Quick Response Code sweep test comprises:
Quick Response Code scan components, for the Quick Response Code that is implanted in article surface is scanned, to generate the image in 2 D code that meets default grey level;
Image in 2 D code parsing module, for image in 2 D code is resolved, to convert the dot pattern ID corresponding with Quick Response Code to;
Dot pattern ID extraction module, for placing buffer memory by dot pattern ID corresponding with Quick Response Code after resolving.
Above-mentioned device, wherein, in described Quick Response Code scan components, comprising:
Quick Response Code scanning module, for sending the light that can identify Quick Response Code, to obtain image in 2 D code;
Quick Response Code sensor devices, for the image in 2 D code obtaining is processed, comprising:
Optical filter, for filtering out the unnecessary spectrum of image in 2 D code getting;
Optical lens, for catching the remaining spectrum of image in 2 D code;
Grey level unit, for regulating time shutter and figure frame per second, reaches between 110~200 the grey level of the complete image capturing.
Above-mentioned device, wherein, also comprises database, for storing while and two content informations that dot pattern ID is corresponding.
Above-mentioned device, wherein, also comprises dot pattern discrimination module, for the true and false of dot pattern image dot pattern is distinguished.
Compared with prior art, the present invention has the following advantages:
The present invention is by Quick Response Code sweep test and dot pattern sweep test, can scan the antifalse being formed by Quick Response Code and the dot pattern mark that is implanted in article surface simultaneously, the relevant false proof information content of tracing to the source of feedback after the two contrasts, make current discriminator learn the true and false of implanting the article that have this anti-counterfeiting mark, made up the shortcoming of existing two-dimension code anti-counterfeit weak effect.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of method part embodiment in the present invention;
Fig. 2 is the process flow diagram of another embodiment of method part in the present invention;
The structural representation of device part in Fig. 3 invention;
Fig. 4 is the structured flowchart that installs part embodiment in the present invention;
Fig. 5 is the structured flowchart of another embodiment of device part in the present invention.
Main description of reference numerals is as follows:
1-housing 2-trigger 3-Quick Response Code sweep test
4-dot pattern sweep test 5-contrasts module
6-database 7-calling module 8-feedback module
9-dot pattern discrimination module
Embodiment
The invention provides one can know method for distinguishing to Quick Response Code and dot pattern simultaneously, comprises the following steps:
Scanning forms the dot pattern in anti-counterfeiting mark, the dot pattern image obtaining is resolved, and distinguish the true and false of dot pattern;
Scanning forms the Quick Response Code in anti-counterfeiting mark, and the image in 2 D code obtaining is resolved, thereby extracts the dot pattern ID corresponding with Quick Response Code after resolving;
Dot pattern ID corresponding with Quick Response Code after resolving is contrasted with resolving dot pattern ID rear and that dot pattern is corresponding, to judge whether the two matches;
According to above-mentioned matching result, in database, call while and two content informations that dot pattern ID is corresponding;
Content information is reported.
As shown in Figure 1, the method concrete steps of this embodiment are:
S1, starter gear, make recognition device energising and in holding state.
Wherein, hardware device switches on power or by & off switch, hardware circuit powers on, and equipment normally starts.
S2, judge whether Quick Response Code scanning module and dot pattern scanning module normally start, if judged result be normal, perform step S3, if judged result is undesired, perform step S4, feed back abnormal information.
Wherein, after hardware circuit electrifying startup, the dot pattern scanning module that the Quick Response Code scanning module that scanning Quick Response Code is used and scanning lattice figure are used respectively hardware powers on and lights.After Quick Response Code scanning module and dot pattern scanning module are lit, install inner embedded software system functional module and judge the whether effectively start of two kinds of scanning module, and possess recognition function, if effectively start is carried out next step, otherwise feed back corresponding abnormal information.
S3, scanning are implanted in the dot pattern on article surface, and the dot pattern image obtaining is resolved, thereby the dot pattern ID after resolving is placed in buffer memory.
In step S3, getting after the dot pattern image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprise the following steps:
Filter out unnecessary spectrum in the dot pattern image getting by optical filter;
Catch remaining spectrum in dot pattern image by optical lens;
By regulating time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110~200.
If dot pattern scanning module get several are all the pictures with dot pattern image, picture is after automatic processing so, select to approach most in several pictures a picture with dot pattern image of the grey scale values upper limit, to carry out follow-up processing.
If what dot pattern scanning module got is the video image with dot pattern image, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Obtaining meeting after the dot pattern image of grey level, dot pattern image is resolved, thereby obtain the dot pattern ID corresponding with dot pattern, and the dot pattern ID after resolving is placed in buffer memory.
S5, scanning are implanted in the Quick Response Code on article surface, and the image in 2 D code obtaining is resolved, thereby the dot pattern ID corresponding with Quick Response Code extracting after resolving is placed in buffer memory.
In step S5, getting after the image in 2 D code that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprise the following steps:
Filter out spectrum unnecessary in the image in 2 D code getting by optical filter;
Catch remaining spectrum in image in 2 D code by optical lens;
By regulating time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110~200.
If Quick Response Code scanning module get several are all the pictures with image in 2 D code, picture is after automatic processing so, select to approach most in several pictures a picture with image in 2 D code of the grey scale values upper limit, to carry out follow-up processing.
If what Quick Response Code scanning module got is the video image with image in 2 D code, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Obtaining meeting after the image in 2 D code of grey level, adopting standard algorithm to convert the Quick Response Code in effective Quick Response Code figure to character string information corresponding thereto.Wherein, standard algorithm is EAN code, 39 yards, intersects 25 yards, UPC code, 128 yards, 93 yards, ISBN code or Codabar(Ku Deba code) in one.
After character string after being resolved, send it to image primitive coded system, by image primitive coded system, the character string of generation is defined as to corresponding dot pattern ID, and dot pattern ID is extracted in buffer memory.
S6, by by resolve after obtain the dot pattern ID corresponding with Quick Response Code, with dot pattern by resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, perform step S7, if judged result is no, perform step S4, feedback abnormal information.
S7, in database, search simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern, if lookup result is yes, perform step S80, if lookup result is no, perform step S4, feedback abnormal information.
S8, in database, call simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern.
S9, content information is reported, made current discriminator learn the true and false of implanting the article that have this anti-counterfeiting mark.
Wherein, if this content information is audio file, by loudspeaker, this audio file is play.
If this content information is video file, by display screen, this video file is play.
If this content information is text, by display screen, text file is play.
As shown in Figure 2, the method concrete steps of this embodiment are as follows:
S10, starter gear, make recognition device energising and in holding state.
Wherein, hardware device switches on power or by & off switch, hardware circuit powers on, and equipment normally starts.
S20, judge whether Quick Response Code scanning module and dot pattern scanning module normally start, if judged result be normal, perform step S30, if judged result is undesired, perform step S40, feed back abnormal information.
Wherein, after hardware circuit electrifying startup, the dot pattern scanning module that the Quick Response Code scanning module that scanning Quick Response Code is used and scanning lattice figure are used respectively hardware powers on and lights.After Quick Response Code scanning module and dot pattern scanning module are lit, install inner embedded software system functional module and judge the whether effectively start of two kinds of scanning module, and possess recognition function, if effectively start is carried out next step, otherwise feed back corresponding abnormal information.
S30, scanning are implanted in the dot pattern on article surface, and the dot pattern image obtaining is resolved, thereby the dot pattern ID after resolving is placed in buffer memory.
In step S30, getting after the dot pattern image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprise the following steps:
Filter out unnecessary spectrum in the dot pattern image getting by optical filter;
Catch remaining spectrum in dot pattern image by optical lens;
By regulating time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110~200.
If dot pattern scanning module get several are all the pictures with dot pattern image, picture is after automatic processing so, select to approach most in several pictures a picture with dot pattern image of the grey scale values upper limit, to carry out follow-up processing.
If what dot pattern scanning module got is the video image with dot pattern image, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Obtaining meeting after the dot pattern image of grey level, dot pattern image is resolved, thereby obtain the dot pattern ID corresponding with dot pattern, and the dot pattern ID after resolving is placed in buffer memory.
S50, distinguish the true and false of dot pattern in dot pattern image, if distinguish, result is true, performs step S60, if distinguish, result is false, performs step S40, feedback abnormal information.
Be specially, in dot pattern ID database to the dot pattern ID that obtains after resolving is searched, if lookup result is yes, perform step S60, start Quick Response Code scanning module to obtain image in 2 D code, if distinguish, result is false, does not start Quick Response Code scanning module, and execution step S40, feedback abnormal information.
S60, scanning are implanted in the Quick Response Code on article surface, and the image in 2 D code obtaining is resolved, thereby the dot pattern ID corresponding with Quick Response Code extracting after resolving is placed in buffer memory.
In step S60, getting after the image in 2 D code that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprise the following steps:
Filter out spectrum unnecessary in the image in 2 D code getting by optical filter;
Catch remaining spectrum in image in 2 D code by optical lens;
By regulating time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110~200.
If Quick Response Code scanning module get several are all the pictures with image in 2 D code, picture is after automatic processing so, select to approach most in several pictures a picture with image in 2 D code of the grey scale values upper limit, to carry out follow-up processing.
If what Quick Response Code scanning module got is the video image with image in 2 D code, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Obtaining meeting after the image in 2 D code of grey level, adopting standard algorithm to convert the Quick Response Code in effective Quick Response Code figure to character string information corresponding thereto.Wherein, standard algorithm is EAN code, 39 yards, intersects 25 yards, UPC code, 128 yards, 93 yards, ISBN code or Codabar(Ku Deba code) in one.
After character string after being resolved, send it to image primitive coded system, by image primitive coded system, the character string of generation is defined as to corresponding dot pattern ID, and dot pattern ID is extracted in buffer memory.
S70, by by resolve after obtain the dot pattern ID corresponding with Quick Response Code, with dot pattern by resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, perform step S80, if judged result is no, perform step S40, feedback abnormal information.
S80, in database, search simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern, if lookup result is yes, perform step S80, if lookup result is no, perform step S40, feedback abnormal information.
S90, in database, call simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern.
S100, content information is reported, made current discriminator learn the true and false of implanting the article that have this anti-counterfeiting mark.
Wherein, if this content information is audio file, by loudspeaker, this audio file is play.
If this content information is video file, by display screen, this video file is play.
If this content information is text, by display screen, text file is play.
As shown in Figure 3 and Figure 4, the invention provides a kind of device of can be simultaneously Quick Response Code and dot pattern being identified, this device is implemented for the method that Fig. 1 is recorded.This device comprises housing 1, trigger 2, is located at the mainboard with central processing element (not describing in figure), Quick Response Code sweep test 3, dot pattern sweep test 4, contrast module 5, database 6, calling module 7 and feedback module 8 in housing.
Wherein, Quick Response Code sweep test 3 is connected with mainboard with trigger, for Quick Response Code being scanned and the image in 2 D code getting being resolved, thereby extracts the dot pattern ID corresponding with Quick Response Code after resolving.
Quick Response Code sweep test comprises:
Quick Response Code scan components, for the Quick Response Code that is implanted in article surface is scanned, to generate the image in 2 D code that meets default grey level.
Wherein, getting after the image in 2 D code that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprise the following steps:
Filter out spectrum unnecessary in the image in 2 D code getting by optical filter;
Catch remaining spectrum in image in 2 D code by optical lens;
Regulate time shutter and figure frame per second by grey level unit, the grey level of the complete image capturing is reached between 110~200.
If Quick Response Code scanning module get several are all the pictures with image in 2 D code, picture is after automatic processing so, select to approach most in several pictures a picture with image in 2 D code of the grey scale values upper limit, to carry out follow-up processing.
If what Quick Response Code scanning module got is the video image with image in 2 D code, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Image in 2 D code parsing module, for image in 2 D code is resolved, to convert the dot pattern ID corresponding with Quick Response Code to.
Wherein, obtaining meeting after the image in 2 D code of grey level, adopting standard algorithm to convert the Quick Response Code in effective Quick Response Code figure to character string information corresponding thereto.Wherein, standard algorithm is the one in Data Matrix, MaxiCode, Aztec, QR Code, Vericode, PDF417, Ultracode, Code49 or Code16K.
After character string after being resolved, send it to image primitive coded system, by image primitive coded system, the character string of generation is defined as to corresponding dot pattern ID.
Dot pattern ID extraction module, for placing buffer memory by the dot pattern ID corresponding with Quick Response Code obtaining after resolving.
Dot pattern sweep test 4 is connected with mainboard with trigger, for dot pattern being scanned and the dot pattern image getting being resolved, thereby extracts the dot pattern ID after resolving.
Wherein, dot pattern sweep test comprises:
Dot pattern scan components, for the dot pattern that is implanted in article surface is scanned, to generate the dot pattern image that meets default grey level.
In dot pattern scan components, comprising:
Dot pattern scanning module, for sending the light that can identify dot pattern, to obtain dot pattern image;
Dot pattern sensor devices, getting after the dot pattern image that is implanted in article surface, need to be processed it, so that the grey level of image reaches preset range, comprises the following steps:
Filter out unnecessary spectrum in the dot pattern image getting by optical filter;
Catch remaining spectrum in dot pattern image by optical lens;
Regulate time shutter and figure frame per second by grey level unit, the grey level of the complete image capturing is reached between 110~200.
If dot pattern scanning module get several are all the pictures with dot pattern image, picture is after automatic processing so, select to approach most in several pictures a picture with dot pattern image of the grey scale values upper limit, to carry out follow-up processing.
If what dot pattern scanning module got is the video image with dot pattern image, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Obtaining meeting after the dot pattern image of grey level, dot pattern image is resolved, thereby obtain the dot pattern ID corresponding with dot pattern, and the dot pattern ID after resolving is placed in buffer memory.
Wherein, Quick Response Code scanning module and dot pattern scanning module are in the same plane.
Dot pattern image analysis module, for dot pattern image is resolved, to convert several dot pattern ID corresponding thereto to;
Dot pattern ID extraction module, for placing buffer memory by the dot pattern ID after resolving.
Contrast module 5 contrasts for the dot pattern ID that the dot pattern ID to corresponding with Quick Response Code after resolving is rear with parsing and dot pattern is corresponding.
By by resolve after obtain the dot pattern ID corresponding with Quick Response Code, with dot pattern by resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, in database, search content corresponding thereto, if judged result is no, feed back abnormal information.
Database 6 is for storing while and two content informations that dot pattern ID is corresponding.
Wherein, in database, search simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern, if lookup result is yes, by calling module, this content information is called, if lookup result is no, feed back abnormal information.
In addition, database is also provided with for the interface content information of its storage inside being upgraded and relevant setting is upgraded to database.
Calling module 7 is for calling while and two content informations that dot pattern ID is corresponding at database.In database, call simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern.
Feedback module 8, for content information is reported, makes current discriminator learn the true and false of implanting the article that have this anti-counterfeiting mark.
Wherein, if this content information is audio file, by loudspeaker, this audio file is play.
If this content information is video file, by display screen, this video file is play.
If this content information is text, by display screen, text file is play.
As shown in Figure 5, the invention provides a kind of device of can be simultaneously Quick Response Code and dot pattern being identified, this device is implemented for the method that Fig. 2 is recorded.This device comprises housing 1, trigger 2, is located at the mainboard with central processing element (not describing in figure), Quick Response Code sweep test 3, dot pattern sweep test 4, contrast module 5, database 6, calling module 7, feedback module 8 and dot pattern discrimination module 9 in housing.
Wherein, dot pattern sweep test 4 is connected with mainboard with trigger, for dot pattern being scanned and the dot pattern image getting being resolved, thereby extracts the dot pattern ID after resolving.
Wherein, dot pattern sweep test comprises:
Dot pattern scan components, for the dot pattern that is implanted in article surface is scanned, to generate the dot pattern image that meets default grey level.
In dot pattern scan components, comprising:
Dot pattern scanning module, for sending the light that can identify dot pattern, to obtain dot pattern image;
Dot pattern sensor devices, getting after the dot pattern image that is implanted in article surface, need to be processed it, so that the grey level of image reaches preset range, comprises the following steps:
Filter out unnecessary spectrum in the dot pattern image getting by optical filter;
Catch remaining spectrum in dot pattern image by optical lens;
Regulate time shutter and figure frame per second by grey level unit, the grey level of the complete image capturing is reached between 110~200.
If dot pattern scanning module get several are all the pictures with dot pattern image, picture is after automatic processing so, select to approach most in several pictures a picture with dot pattern image of the grey scale values upper limit, to carry out follow-up processing.
If what dot pattern scanning module got is the video image with dot pattern image, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Obtaining meeting after the dot pattern image of grey level, dot pattern image is resolved, thereby obtain the dot pattern ID corresponding with dot pattern, and the dot pattern ID after resolving is placed in buffer memory.
Dot pattern image analysis module, for dot pattern image is resolved, to convert several dot pattern ID corresponding thereto to;
Dot pattern ID extraction module, for placing buffer memory by the dot pattern ID after resolving.
Dot pattern discrimination module 9 is for distinguishing the true and false of dot pattern image dot pattern.Wherein, in dot pattern ID database to the dot pattern ID that obtains after resolving is searched, if lookup result is yes, start Quick Response Code scanning module to obtain image in 2 D code, if distinguish, result is false, does not start Quick Response Code scanning module, and directly feeds back abnormal information.
Quick Response Code sweep test 3 is connected with mainboard with trigger, for Quick Response Code being scanned and the image in 2 D code getting being resolved, thereby extracts the dot pattern ID corresponding with Quick Response Code after resolving.
Quick Response Code sweep test comprises:
Quick Response Code scan components, for the Quick Response Code that is implanted in article surface is scanned, to generate the image in 2 D code that meets default grey level.
Wherein, getting after the image in 2 D code that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprise the following steps:
Filter out spectrum unnecessary in the image in 2 D code getting by optical filter;
Catch remaining spectrum in image in 2 D code by optical lens;
Regulate time shutter and figure frame per second by grey level unit, the grey level of the complete image capturing is reached between 110~200.
If Quick Response Code scanning module get several are all the pictures with image in 2 D code, picture is after automatic processing so, select to approach most in several pictures a picture with image in 2 D code of the grey scale values upper limit, to carry out follow-up processing.
If what Quick Response Code scanning module got is the video image with image in 2 D code, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Image in 2 D code parsing module, for image in 2 D code is resolved, to convert the dot pattern ID corresponding with Quick Response Code to.
Wherein, obtaining meeting after the image in 2 D code of grey level, adopting standard algorithm to convert the Quick Response Code in effective Quick Response Code figure to character string information corresponding thereto.Wherein, standard algorithm is the one in Data Matrix, MaxiCode, Aztec, QR Code, Vericode, PDF417, Ultracode, Code49 or Code16K.
After character string after being resolved, send it to image primitive coded system, by image primitive coded system, the character string of generation is defined as to corresponding dot pattern ID.
Dot pattern ID extraction module, for placing buffer memory by the dot pattern ID corresponding with Quick Response Code obtaining after resolving.
Wherein, Quick Response Code scanning module and dot pattern scanning module are in the same plane.
Contrast module 5 contrasts for the dot pattern ID that the dot pattern ID to corresponding with Quick Response Code after resolving is rear with parsing and dot pattern is corresponding.
By by resolve after obtain the dot pattern ID corresponding with Quick Response Code, with dot pattern by resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, in database, search content corresponding thereto, if judged result is no, feed back abnormal information.
Database 6 is for storing while and two content informations that dot pattern ID is corresponding.
Wherein, in database, search simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern, if lookup result is yes, by calling module, this content information is called, if lookup result is no, feed back abnormal information.
In addition, database is also provided with for the interface content information of its storage inside being upgraded and relevant setting is upgraded to database.
Calling module 7 is for calling while and two content informations that dot pattern ID is corresponding at database.In database, call simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern.
Feedback module 8, for content information is reported, makes current discriminator learn the true and false of implanting the article that have this anti-counterfeiting mark.
Wherein, if this content information is audio file, by loudspeaker, this audio file is play.
If this content information is video file, by display screen, this video file is play.
If this content information is text, by display screen, text file is play.
In the present invention, the antifalse being formed by dot pattern and Quick Response Code identifies, by organize dot pattern and Quick Response Code forms more, organize dot pattern more and be distributed in the outside of Quick Response Code, or Quick Response Code is arranged on by organizing dot pattern more and arranges in order and form in a dot pattern frame.
The information point that dot pattern is 30~40 microns by least one group of diameter rearranges, and with the shape of specifying.Because the diameter of information point is small, and be preset with corresponding spacing distance between two adjacent information points, after the mode that is copied or scans copies, distance between adjacent two information points can be found deviation, the shape of specifying also can change, thereby form the invalid code that cannot be identified, therefore, the position of information point and the distance between the two can improve the anti-counterfeiting performance of dot pattern.In two adjacent information points, the spacing between the center of center to the second information point of being put by the first information is 80 microns.Information point in this dot pattern comprises direction reference point, center reference point and check code-point.
Dot pattern adopts the coating that can be identified by naked eyes invisible light to be attached on the white space of carrier, one in the visible coating that the coating that can be identified by naked eyes invisible light is carbon containing or the invisible coating of carbon containing, visible ink or ink that the visible coating of carbon containing is carbon containing, the colorless ink that the invisible coating of carbon containing is carbon containing or ink.Due to visible ink or the ink of carbon containing, and the colorless ink of carbon containing or ink can absorb the infrared ray of specific band, therefore, only has infrared ray recognition device to identify the information in label layer.
Only as described above, be only preferred embodiment of the present invention, such as professional who are familiar with this art.After understanding technological means of the present invention, natural energy, according to actual needs, is changed under instruction of the present invention.Therefore all equal variation and modifications of doing according to the present patent application the scope of the claims, once should still remain within the scope of the patent.

Claims (12)

1. a method of identifying the anti-counterfeiting mark of Quick Response Code and dot pattern formation, comprises the following steps:
Scanning forms the dot pattern in anti-counterfeiting mark, the dot pattern image obtaining is resolved, and distinguish the true and false of dot pattern;
Scanning forms the Quick Response Code in anti-counterfeiting mark, and the image in 2 D code obtaining is resolved, thereby extracts the dot pattern ID corresponding with Quick Response Code after resolving;
Dot pattern ID corresponding with Quick Response Code after resolving is contrasted with resolving dot pattern ID rear and that dot pattern is corresponding, to judge whether the two matches;
According to above-mentioned matching result, in database, call while and two content informations that dot pattern ID is corresponding;
Content information is reported.
2. method according to claim 1, is characterized in that, the concrete steps of said method are:
S1, starter gear, make recognition device energising and in holding state;
S2, judge whether Quick Response Code scanning module and dot pattern scanning module normally start, if judged result be normal, perform step S3, if judged result is undesired, perform step S4, feed back abnormal information;
S3, scanning are implanted in the Quick Response Code on article surface, and the image in 2 D code obtaining is resolved, thereby the dot pattern ID corresponding with Quick Response Code after resolving is placed in buffer memory;
S5, scanning are implanted in the dot pattern on article surface, and the dot pattern image obtaining is resolved, thereby the dot pattern ID after resolving is placed in buffer memory;
S6, to resolve after the dot pattern ID corresponding with Quick Response Code with resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, perform step S7, if judged result is no, perform step S4, feedback abnormal information;
S7, in database, search simultaneously and two content informations that dot pattern ID is corresponding, if lookup result be yes, perform step S8, if lookup result is no, perform step S4, feed back abnormal information;
S8, be invoked in database simultaneously and two content informations that dot pattern ID is corresponding;
S9, content information is reported.
3. method according to claim 2, is characterized in that, in step S3, getting after the image in 2 D code that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprises the following steps:
Filter out spectrum unnecessary in the image in 2 D code getting;
Catch remaining spectrum in image in 2 D code;
Regulate time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110~200.
4. method according to claim 2, is characterized in that, in step S5, getting after the dot pattern image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprises the following steps:
Filter out unnecessary spectrum in the dot pattern image getting;
Catch remaining spectrum in dot pattern image;
Regulate time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110~200.
5. method according to claim 1, is characterized in that, said method also comprises that following concrete steps are:
S10, starter gear, make recognition device energising and in holding state;
S20, judge whether Quick Response Code scanning module and dot pattern scanning module normally start, if judged result be normal, perform step S30, if judged result is undesired, perform step S40, feed back abnormal information;
S30, scanning form the dot pattern in anti-counterfeiting mark, the dot pattern image obtaining is resolved to obtain dot pattern ID, and be placed in buffer memory;
S50, distinguish the true and false of dot pattern in dot pattern image, if distinguish, result is true, performs step S60, if distinguish, result is false, performs step S40, feedback abnormal information;
S60, scanning are implanted in the Quick Response Code on article surface, and the image in 2 D code obtaining is resolved, thereby the dot pattern ID corresponding with Quick Response Code after resolving is placed in buffer memory;
S70, to resolve after the dot pattern ID corresponding with Quick Response Code with resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, perform step S80, if judged result is no, perform step S40, feedback abnormal information;
S80, in database, search simultaneously and two content informations that dot pattern ID is corresponding, if lookup result be yes, perform step S90, if lookup result is no, perform step S40, feed back abnormal information;
S90, be invoked in database simultaneously and two content informations that dot pattern ID is corresponding;
S100, content information is reported.
6. application rights requires a device for method described in 1, comprises housing, trigger, is located at the mainboard with central processing element in housing, it is characterized in that, also comprises:
Dot pattern sweep test, is connected with described mainboard with described trigger, for dot pattern being scanned and the dot pattern image getting being resolved, thereby extracts the dot pattern ID after resolving;
Quick Response Code sweep test, is connected with described mainboard with described trigger, for Quick Response Code being scanned and the image in 2 D code getting being resolved, thereby extracts the dot pattern ID corresponding with Quick Response Code after resolving;
Contrast module, contrasts for the dot pattern ID that the dot pattern ID to corresponding with Quick Response Code after resolving is rear with parsing and dot pattern is corresponding;
Calling module, for calling while and two content informations that dot pattern ID is corresponding at database;
Feedback module, for reporting content information.
7. device according to claim 6, is characterized in that, described dot pattern sweep test comprises:
Dot pattern scan components, for the dot pattern that is implanted in article surface is scanned, to generate the dot pattern image that meets default grey level;
Dot pattern image analysis module, for dot pattern image is resolved, to convert several dot pattern ID corresponding thereto to;
Dot pattern ID extraction module, for placing buffer memory by the dot pattern ID after resolving.
8. device according to claim 7, is characterized in that, in described dot pattern scan components, comprising:
Dot pattern scanning module, for sending the light that can identify dot pattern, to obtain dot pattern image;
Dot pattern sensor devices, for the dot pattern image obtaining is processed, comprising:
Optical filter, for filtering out the unnecessary spectrum of dot pattern image getting;
Optical lens, for catching the remaining spectrum of dot pattern image;
Grey level unit, for regulating time shutter and figure frame per second, reaches between 110~200 the grey level of the complete image capturing.
9. device according to claim 6, is characterized in that, described Quick Response Code sweep test comprises:
Quick Response Code scan components, for the Quick Response Code that is implanted in article surface is scanned, to generate the image in 2 D code that meets default grey level;
Image in 2 D code parsing module, for image in 2 D code is resolved, to convert the dot pattern ID corresponding with Quick Response Code to;
Dot pattern ID extraction module, for placing buffer memory by dot pattern ID corresponding with Quick Response Code after resolving.
10. device according to claim 9, is characterized in that, in described Quick Response Code scan components, comprising:
Quick Response Code scanning module, for sending the light that can identify Quick Response Code, to obtain image in 2 D code;
Quick Response Code sensor devices, for the image in 2 D code obtaining is processed, comprising:
Optical filter, for filtering out the unnecessary spectrum of image in 2 D code getting;
Optical lens, for catching the remaining spectrum of image in 2 D code;
Grey level unit, for regulating time shutter and figure frame per second, reaches between 110~200 the grey level of the complete image capturing.
11. according to arbitrary described device in claim 6 to 10, it is characterized in that, also comprises database, for storing while and two content informations that dot pattern ID is corresponding.
12. according to the device described in claim 11, it is characterized in that, also comprises dot pattern discrimination module, for the true and false of dot pattern image dot pattern is distinguished.
CN201410053903.6A 2014-02-18 2014-02-18 Method and device for identifying anti-counterfeiting mark composed of two-dimensional code and raster graphic Pending CN103793676A (en)

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104034730A (en) * 2014-05-22 2014-09-10 立德高科(北京)数码科技有限责任公司 Method and device for identifying truth and falseness of current object by detecting thickness of ink point
CN104766109A (en) * 2015-03-30 2015-07-08 山东泰宝防伪制品有限公司 Intelligent anti-counterfeiting traceable drug packing box
CN104778436A (en) * 2015-03-24 2015-07-15 立德高科(北京)数码科技有限责任公司 Method and device for identifying and reading combined anti-fake label
CN104778490A (en) * 2015-03-24 2015-07-15 立德高科(北京)数码科技有限责任公司 Method and device for binding data in combination-type anti-fake label
CN104883383A (en) * 2015-03-24 2015-09-02 立德高科(北京)数码科技有限责任公司 Method and apparatus for binding data in combined anti-counterfeit label
CN105868815A (en) * 2016-03-25 2016-08-17 立德高科(昆山)数码科技有限责任公司 Superposed-type combined identification based on same identification equipment, and generation method and system
CN108229969A (en) * 2016-12-09 2018-06-29 北京大码技术有限公司 Combined two-dimension code anti-fake system and method, combined two-dimension code, reading device
CN108256608A (en) * 2017-03-15 2018-07-06 新华智云科技有限公司 A kind of two dimensional image code and its recognition methods and equipment
CN108470201A (en) * 2018-01-24 2018-08-31 重庆延伸科技开发有限公司 A kind of multiple random color dot matrix label anti-counterfeit system
CN109242509A (en) * 2018-08-20 2019-01-18 同济大学 Dot character information encoding-decoding method for commodity outer packing
CN109272065A (en) * 2018-10-12 2019-01-25 深圳市建美来展示制品有限公司 Two dimensional code production method and its system
CN110163934A (en) * 2019-05-28 2019-08-23 深圳市贤俊龙彩印有限公司 For the digital cross cutting carved image production method of portrait
CN110222800A (en) * 2019-04-30 2019-09-10 浙江大学 A kind of two-dimension code anti-counterfeit mark image and its recognition methods based on dot matrix

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0533207A2 (en) * 1991-09-20 1993-03-24 Omron Corporation Multi-focus optical device
JP2004362053A (en) * 2003-06-02 2004-12-24 Hitachi Information Technology Co Ltd Two-dimensional code reading device
CN101299246A (en) * 2008-06-24 2008-11-05 深圳矽感科技有限公司 Two-dimension code with false proof function
CN102629357A (en) * 2012-03-05 2012-08-08 于春和 Secure access method of product information and system thereof
CN102799920A (en) * 2012-06-28 2012-11-28 王学武 Two-dimensional code generation system and method and two-dimensional code identification system and method in combination with image
CN103489026A (en) * 2013-09-24 2014-01-01 深圳市中选科技有限公司 Colorful two-dimension code, generating method and generating system thereof and printed article

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0533207A2 (en) * 1991-09-20 1993-03-24 Omron Corporation Multi-focus optical device
JP2004362053A (en) * 2003-06-02 2004-12-24 Hitachi Information Technology Co Ltd Two-dimensional code reading device
CN101299246A (en) * 2008-06-24 2008-11-05 深圳矽感科技有限公司 Two-dimension code with false proof function
CN102629357A (en) * 2012-03-05 2012-08-08 于春和 Secure access method of product information and system thereof
CN102799920A (en) * 2012-06-28 2012-11-28 王学武 Two-dimensional code generation system and method and two-dimensional code identification system and method in combination with image
CN103489026A (en) * 2013-09-24 2014-01-01 深圳市中选科技有限公司 Colorful two-dimension code, generating method and generating system thereof and printed article

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
吴佳鹏: "二维条码识读技术及其应用研究", 《中国博士学位论文全文数据库(电子期刊)信息科技辑》, no. 11, 15 November 2010 (2010-11-15) *

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104034730B (en) * 2014-05-22 2016-04-20 立德高科(北京)数码科技有限责任公司 By detecting ink dot thickness to distinguish method and the device of the current item true and false
CN104034730A (en) * 2014-05-22 2014-09-10 立德高科(北京)数码科技有限责任公司 Method and device for identifying truth and falseness of current object by detecting thickness of ink point
CN104778436A (en) * 2015-03-24 2015-07-15 立德高科(北京)数码科技有限责任公司 Method and device for identifying and reading combined anti-fake label
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CN104778436B (en) * 2015-03-24 2017-09-19 立德高科(北京)数码科技有限责任公司 The method and device distinguished to combined anti-fake
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CN104766109B (en) * 2015-03-30 2018-09-21 山东泰宝防伪制品有限公司 A kind of intelligent anti-counterfeiting retrospect medicine packing box
CN104766109A (en) * 2015-03-30 2015-07-08 山东泰宝防伪制品有限公司 Intelligent anti-counterfeiting traceable drug packing box
CN105868815A (en) * 2016-03-25 2016-08-17 立德高科(昆山)数码科技有限责任公司 Superposed-type combined identification based on same identification equipment, and generation method and system
CN108229969A (en) * 2016-12-09 2018-06-29 北京大码技术有限公司 Combined two-dimension code anti-fake system and method, combined two-dimension code, reading device
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