CN105740763A - Identity recognition method and device - Google Patents
Identity recognition method and device Download PDFInfo
- Publication number
- CN105740763A CN105740763A CN201610041357.3A CN201610041357A CN105740763A CN 105740763 A CN105740763 A CN 105740763A CN 201610041357 A CN201610041357 A CN 201610041357A CN 105740763 A CN105740763 A CN 105740763A
- Authority
- CN
- China
- Prior art keywords
- face
- data
- user
- identity
- described user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000002604 ultrasonography Methods 0.000 claims description 35
- 238000000605 extraction Methods 0.000 claims description 7
- 239000000284 extract Substances 0.000 claims description 4
- 230000013011 mating Effects 0.000 claims description 4
- 230000001815 facial effect Effects 0.000 abstract description 14
- 238000005516 engineering process Methods 0.000 abstract description 12
- 230000000694 effects Effects 0.000 abstract description 8
- 238000005286 illumination Methods 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000003384 imaging method Methods 0.000 description 3
- 241001269238 Data Species 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Collating Specific Patterns (AREA)
Abstract
The invention discloses an identity identification method and device. Wherein, the method comprises the following steps: acquiring ultrasonic echo data reflected from a face of a user; generating face contour data of a user according to the ultrasonic echo data; matching the facial profile data of the user with facial data prestored in a face database to generate matching degree; and determining the identity of the user according to the matching degree. The invention solves the technical problem that the face recognition effect is poor under the condition of poor illumination condition by adopting the technology of collecting face data by a camera for recognition.
Description
Technical field
The present invention relates to computer realm, in particular to recognition methods and the device of a kind of identity.
Background technology
Face recognition technology, as the one of identity recognizing technology, is widely used in various scene, for instance the scenes such as monitoring or unblock.Face identification method the more commonly used at present is to adopt photographic head optical imagery, by extraction property data in the facial image from shooting as reference contrast sample, distinguishes identity by contrasting.
Although it should be noted that above-mentioned employing photographic head identifies that the method for face is simply easily achieved, but the method is to adopt optical imagery to realize, and recognition failures easily occurs when illumination condition difference or face are covered, causes the weak effect of recognition of face.
The technology being identified for above-mentioned employing camera collection human face data when illumination condition difference, the problem of the weak effect of recognition of face, effective solution is not yet proposed at present.
Summary of the invention
Embodiments provide recognition methods and the device of a kind of identity, at least to solve to adopt the technology that is identified of camera collection human face data when illumination condition difference, the technical problem of the weak effect of recognition of face.
An aspect according to embodiments of the present invention, it is provided that the recognition methods of a kind of identity, the method includes: gather the ultrasound echo data that the face from user reflects；The face contour data of user are generated according to ultrasound echo data；The face contour data of user are mated with the face data prestored in face database, generates matching degree；The identity of user is determined according to matching degree.
Another aspect according to embodiments of the present invention, additionally provides the identification device of a kind of identity, and this device includes: the first collecting unit, for gathering the ultrasound echo data of the face reflection from user；Generate unit, for generating the face contour data of user according to ultrasound echo data；Matching unit, for the face contour data of user being mated with the face data prestored in face database, generates matching degree；Determine unit, for determining the identity of user according to matching degree.
In embodiments of the present invention, the ultrasound echo data gathering the face reflection from user is adopted；The face contour data of user are generated according to ultrasound echo data；The face contour data of user are mated with the face data prestored in face database, generates matching degree；Determine the identity of user according to matching degree, solve the technology adopting camera collection human face data to be identified when illumination condition difference, the technical problem of the weak effect of recognition of face.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, and the schematic description and description of the present invention is used for explaining the present invention, is not intended that inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of the recognition methods of a kind of identity according to embodiments of the present invention；
Fig. 2 is the schematic diagram of the recognition methods of a kind of identity alternatively according to embodiments of the present invention；
Fig. 3 is the schematic diagram of the recognition methods of a kind of identity alternatively according to embodiments of the present invention；And
Fig. 4 is the schematic diagram identifying device of a kind of identity according to embodiments of the present invention.
Detailed description of the invention
In order to make those skilled in the art be more fully understood that the present invention program, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the embodiment of a present invention part, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, all should belong to the scope of protection of the invention.
It should be noted that term " first " in description and claims of this specification and above-mentioned accompanying drawing, " second " etc. are for distinguishing similar object, without being used for describing specific order or precedence.Should be appreciated that the data of so use can be exchanged in the appropriate case, in order to embodiments of the invention described herein can with except here diagram or describe those except order implement.In addition, term " includes " and " having " and their any deformation, it is intended to cover non-exclusive comprising, such as, contain series of steps or the process of unit, method, system, product or equipment be not necessarily limited to those steps or the unit clearly listed, but can include clearly not listing or for intrinsic other step of these processes, method, product or equipment or unit.
Embodiment one
According to embodiments of the present invention, provide the embodiment of the recognition methods of a kind of identity, it should be noted that, can perform in the computer system of such as one group of computer executable instructions in the step shown in the flow chart of accompanying drawing, and, although illustrate logical order in flow charts, but in some cases, it is possible to perform shown or described step with the order being different from herein.
Fig. 1 is the flow chart of the recognition methods of a kind of identity according to embodiments of the present invention, as it is shown in figure 1, the method comprises the steps:
Step S12, gathers the ultrasound echo data that the face from user reflects.
Specifically, this programme can adopt the ultrasonic transmitter face generation ultrasound wave to user, then adopts ultrasonic receiver to receive the ultrasonic echo reflected from user's face.
Step S14, generates the face contour data of user according to ultrasound echo data.
In above-mentioned steps S14, this programme can adopt processor for ultrasonic wave to process above-mentioned ultrasonic echo, then pass through ultrasonic echo to calculate the ultrasonic transmitter different distance to user's face, by above-mentioned calculating to different distance generate the face contour data of user.
The face contour data of user are mated by step S16 with the face data prestored in face database, generate matching degree.
In above-mentioned steps S16, the face contour data of the user obtained by ultrasound wave can be mated by this programme with the multiple face datas prestored in face database, generate matching degree, it should be noted that, multiple face datas in above-mentioned face database can be that other-end equipment inputs in advance in face database, it is also possible to for being collected by ultrasonic receiver in advance.
Step S18, determines the identity of user according to matching degree.
In above-mentioned steps S18, according to above-mentioned matching degree, this programme can determine that whether user identity is legal, it should be noted that, the scheme that the application proposes can apply to the unblock of terminal unit, household electrical appliance, such as, after determining that user identity is legal, terminal unit, household electrical appliance just can be operated by user.Also, it should be noted this programme can also be applied to gate control system, for instance, after determining that the identity of user is legal by ultrasound wave, user can open door.
The present embodiment is by gathering the ultrasound echo data of user's face reflection；The face contour data of user are generated according to ultrasonic echo；The face contour data of user are mated with the face data prestored in face database, generates matching degree；The legitimacy of user identity is determined according to matching degree.Being easily noted that, the present embodiment realizes face imaging by ultrasound wave, is contrasted with the face data prestored by the user's face outline data obtained by ultrasound wave, thus completing the identification of user identity.Due to ultrasound wave good directionality, identity is strong, resolution is high, and therefore, compared with correlation technique, the present embodiment solves the technology adopting camera collection human face data to be identified when illumination condition difference, the technical problem of the weak effect of recognition of face.
Alternatively, in step S12, before gathering the ultrasound echo data that the face from user reflects, the method that the present embodiment provides can also include:
Step S111, gathers the gesture data of user.
Step S112, when the gesture data of user matches with the gesture data preset, controls ultrasonic transmitter and sends ultrasound wave to user's face.
In above-mentioned steps S111 to step S112, this programme can pass through the gesture data of camera collection user, when the gesture data of user mates with the gesture data preset, this programme then controls ultrasonic transmitter and sends ultrasound wave to user's face, to gather the ultrasonic echo from user's face reflection.Namely the present embodiment completes twice identification, first time identifies that whether the gesture of user is correct, second time identifies that whether the face data of user is correct, is completed the checking of user identity by twice identification, and it is more perfect that above-mentioned " dual identification " technology makes user identify.
Alternatively, in step S12, before gathering the ultrasound echo data that the face from user reflects, the method that the present embodiment provides can also include:
Step S113, gathers the face data of user.
Step S114, receives the ID of user's input.
Step S115, sets up the corresponding relation of face data and ID in face database.
In above-mentioned steps S113 to S115, user can realize carrying out typing face data to face database, then this programme can set up the corresponding relation of ID and user's face data in face database, such as, after the identification of user A is legal, user A can check the corresponding relation of above-mentioned ID and user's face data, or face data carries out the deletion of part according to above-mentioned corresponding relation.
It should be noted that user can pass through external equipment transmits face data in face database, it is also possible to carry out typing face data by ultrasonic transmitter and ultrasonic receiver to face database.
Alternatively, step S16, the step that the face contour data of user carry out mating with the face data prestored in face database be may include that
Step S161, extracts the eigenvalue of face contour data.
Step S162, mates eigenvalue with the face data prestored in face database.
In above-mentioned steps S161 to step S162, this programme can extract the characteristic point of user's face outline data, coding mates with the face data in face database, to generate matching degree.
Alternatively, step S18, determines that according to matching degree the step of the identity of user may include that
Step S181, when matching degree is less than predetermined threshold value, it is determined that the identity of user is illegal.
Step S182, when matching degree is be more than or equal to predetermined threshold value, it is determined that the identity of user is legal.
In above-mentioned steps S181 to step S182, this programme can pass through the size of matching degree and judge that whether the identity of user is legal, alternatively, after generating the identification result of user, this programme can export the identification result of user by the mode that voice message or image show.
Below in conjunction with Fig. 2 to Fig. 3, introduce a kind of preferred embodiment of the application:
As in figure 2 it is shown, the scheme of the application can by ultrasonic sensor 21, ultrasonic transmission/reception data are extracted and processing module 22, facial contour feature value and coding extraction module 23, MCU24, MIM message input module 25, memorizer 26 and recognition result output module 27 form.
Below in conjunction with Fig. 3, introduce the specific works step of modules in Fig. 2:
Step S301, ultrasonic sensor 21 is launched ultrasound wave to face and is detected.
Step S302, ultrasonic transmission/reception data are extracted and processing module 22 processes according to the different distance of detection and generates facial contour data.
Step S303, facial contour feature value and coding extraction module 23 extract eigenvalue or the coding of facial contour.
Step S3031, facial contour feature value and coding extraction module 23 generate facial contour feature code to be detected.
The facial contour feature code extracted is stored the face database to memorizer 26 by step S3032, facial contour feature value and coding extraction module 23.
It should be noted that the present embodiment can also adopt MIM message input module that facial contour feature code is sent the face database to memorizer 26.
Facial contour feature code to be detected is mated by step S304, MCU24 with the face sample in face database.
Step S305, recognition result output module 27 output matching result.
To sum up, this programme adopts ultrasonic sensor detection facial contour, different measurement distances is obtained by detecting the difference at position, realize face imaging thereby through sound wave, then pass through to extract after some column processing such as characteristic point, coding and store face recognition database as recognition of face with reference to data.When normal identification by sound collecting face features, compare with Database Reference data and distinguish identity, the form output that the result of recognition of face can be shown by voice message or image, solve the technology adopting camera collection human face data to be identified when illumination condition difference, the technical problem of the weak effect of recognition of face.
Embodiment two
Present invention also provides the identification device of a kind of identity, this device may be used for performing the recognition methods of identity, and as shown in Figure 4, this device may include that the first collecting unit 40, for gathering the ultrasound echo data of the face reflection from user；Generate unit 42, for generating the face contour data of user according to ultrasound echo data；Matching unit 44, for the face contour data of user being mated with the face data prestored in face database, generates matching degree；Determine unit 46, for determining the identity of user according to matching degree.
The present embodiment is by gathering the ultrasound echo data of user's face reflection；The face contour data of user are generated according to ultrasonic echo；The face contour data of user are mated with the face data prestored in face database, generates matching degree；The legitimacy of user identity is determined according to matching degree.Being easily noted that, the present embodiment realizes face imaging by ultrasound wave, is contrasted with the face data prestored by the user's face outline data obtained by ultrasound wave, thus completing the identification of user identity.Due to ultrasound wave good directionality, identity is strong, resolution is high, and therefore, compared with correlation technique, the present embodiment solves the technology adopting camera collection human face data to be identified when illumination condition difference, the technical problem of the weak effect of recognition of face.
Alternatively, said apparatus can also include: the second collecting unit, for gathering the gesture data of user；Control unit, for when the gesture data of user matches with the gesture data preset, controlling ultrasonic transmitter and send ultrasound wave to user's face.
Alternatively, said apparatus can also include: the 3rd collecting unit, for gathering the face data of user；Receive unit, for receiving the ID of user's input；Set up unit, for setting up the corresponding relation of face data and ID in face database.
Alternatively, above-mentioned matching unit may include that extraction module, for extracting the eigenvalue of face contour data；Matching module, for mating eigenvalue with the face data prestored in face database.
Optionally it is determined that unit may include that first determines module, for when matching degree is less than predetermined threshold value, it is determined that the identity of user is illegal；Second determines module, when matching degree is be more than or equal to predetermined threshold value, it is determined that the identity of user is legal.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
In the above embodiment of the present invention, the description of each embodiment is all emphasized particularly on different fields, certain embodiment there is no the part described in detail, it is possible to referring to the associated description of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents, can realize by another way.Wherein, device embodiment described above is merely schematic, the such as division of described unit, can be that a kind of logic function divides, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or be desirably integrated into another system, or some features can be ignored, or does not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be through INDIRECT COUPLING or the communication connection of some interfaces, unit or module, it is possible to be electrical or other form.
The described unit illustrated as separating component can be or may not be physically separate, and the parts shown as unit can be or may not be physical location, namely may be located at a place, or can also be distributed on multiple unit.Some or all of unit therein can be selected according to the actual needs to realize the purpose of the present embodiment scheme.
It addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it is also possible to be that unit is individually physically present, it is also possible to two or more unit are integrated in a unit.Above-mentioned integrated unit both can adopt the form of hardware to realize, it would however also be possible to employ the form of SFU software functional unit realizes.
If described integrated unit is using the form realization of SFU software functional unit and as independent production marketing or use, it is possible to be stored in a computer read/write memory medium.Based on such understanding, part or all or part of of this technical scheme that prior art is contributed by technical scheme substantially in other words can embody with the form of software product, this computer software product is stored in a storage medium, including some instructions with so that a computer equipment (can for personal computer, server or the network equipment etc.) performs all or part of step of method described in each embodiment of the present invention.And aforesaid storage medium includes: USB flash disk, read only memory (ROM, Read-OnlyMemory), the various media that can store program code such as random access memory (RAM, RandomAccessMemory), portable hard drive, magnetic disc or CD.
The above is only the preferred embodiment of the present invention; it should be pointed out that, for those skilled in the art, under the premise without departing from the principles of the invention; can also making some improvements and modifications, these improvements and modifications also should be regarded as protection scope of the present invention.
Claims (10)
1. the recognition methods of an identity, it is characterised in that including:
Gather the ultrasound echo data that the face from user reflects；
The face contour data of described user are generated according to described ultrasound echo data；
The face contour data of described user are mated with the face data prestored in face database, generates matching degree；
The identity of described user is determined according to described matching degree.
2. method according to claim 1, it is characterised in that before the ultrasound echo data that the face gathered from user reflects, described method also includes:
Gather the gesture data of described user；
When the gesture data of described user matches with the gesture data preset, control ultrasonic transmitter and send the ultrasound wave face to described user.
3. method according to claim 1 and 2, it is characterised in that before the ultrasound echo data that the face gathered from user reflects, described method also includes:
Gather the described face data of described user；
Receive the ID of described user input；
Described face database is set up the corresponding relation of described face data and described ID.
4. method according to claim 3, includes the step that the face contour data of described user carry out mating with the face data prestored in face database:
Extract the eigenvalue of described face contour data；
Described eigenvalue is mated with the face data prestored in described face database.
5. method according to claim 1, determines that according to described matching degree the step of the identity of described user includes:
When described matching degree is less than predetermined threshold value, it is determined that the identity of described user is illegal；
When described matching degree is be more than or equal to described predetermined threshold value, it is determined that the identity of described user is legal.
6. the identification device of an identity, it is characterised in that including:
First collecting unit, for gathering the ultrasound echo data of the face reflection from user；
Generate unit, for generating the face contour data of described user according to described ultrasound echo data；
Matching unit, for the face contour data of described user being mated with the face data prestored in face database, generates matching degree；
Determine unit, for determining the identity of described user according to described matching degree.
7. device according to claim 6, it is characterised in that described device also includes:
Second collecting unit, for gathering the gesture data of described user；
Control unit, for when the gesture data of described user matches with the gesture data preset, controlling ultrasonic transmitter and send the ultrasound wave face to described user.
8. the device according to claim 6 or 7, it is characterised in that described device also includes:
3rd collecting unit, for gathering the described face data of described user；
Receive unit, for receiving the ID of described user input；
Set up unit, for setting up the corresponding relation of described face data and described ID in described face database.
9. device according to claim 8, described matching unit includes:
Extraction module, for extracting the eigenvalue of described face contour data；
Matching module, for mating described eigenvalue with the face data prestored in described face database.
10. device according to claim 6, described determines that unit includes:
First determines module, for when described matching degree is less than predetermined threshold value, it is determined that the identity of described user is illegal；
Second determines module, when described matching degree is be more than or equal to described predetermined threshold value, it is determined that the identity of described user is legal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610041357.3A CN105740763A (en) | 2016-01-21 | 2016-01-21 | Identity recognition method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610041357.3A CN105740763A (en) | 2016-01-21 | 2016-01-21 | Identity recognition method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105740763A true CN105740763A (en) | 2016-07-06 |
Family
ID=56247366
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610041357.3A Pending CN105740763A (en) | 2016-01-21 | 2016-01-21 | Identity recognition method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105740763A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107102560A (en) * | 2017-04-28 | 2017-08-29 | 青岛海尔股份有限公司 | Intelligent domestic system and its control method |
| CN107491732A (en) * | 2017-07-17 | 2017-12-19 | 深圳市金立通信设备有限公司 | A kind of identity authentication method and terminal |
| CN107495986A (en) * | 2017-07-21 | 2017-12-22 | 无锡海斯凯尔医学技术有限公司 | The viscoelastic measuring method of medium and device |
| CN107613550A (en) * | 2017-09-27 | 2018-01-19 | 广东欧珀移动通信有限公司 | Solve lock control method and Related product |
| CN108959866A (en) * | 2018-04-24 | 2018-12-07 | 西北大学 | A kind of lasting identity identifying method based on high frequency sound wave frequency |
| CN110111111A (en) * | 2019-04-24 | 2019-08-09 | 上海乂学教育科技有限公司 | Network pay this extra Accounting & Service System |
| CN111552941A (en) * | 2020-04-22 | 2020-08-18 | 歌尔科技有限公司 | Terminal unlocking method and device, electronic equipment and readable storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101396277A (en) * | 2007-09-26 | 2009-04-01 | 中国科学院声学研究所 | Ultrasonics face recognition method and device |
| US20130236069A1 (en) * | 2012-03-07 | 2013-09-12 | Altek Corporation | Face Recognition System and Face Recognition Method Thereof |
| CN103424475A (en) * | 2013-04-08 | 2013-12-04 | 上海飞机制造有限公司 | Tested surface outline extraction method based on phased array ultrasound testing |
-
2016
- 2016-01-21 CN CN201610041357.3A patent/CN105740763A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101396277A (en) * | 2007-09-26 | 2009-04-01 | 中国科学院声学研究所 | Ultrasonics face recognition method and device |
| US20130236069A1 (en) * | 2012-03-07 | 2013-09-12 | Altek Corporation | Face Recognition System and Face Recognition Method Thereof |
| CN103424475A (en) * | 2013-04-08 | 2013-12-04 | 上海飞机制造有限公司 | Tested surface outline extraction method based on phased array ultrasound testing |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107102560A (en) * | 2017-04-28 | 2017-08-29 | 青岛海尔股份有限公司 | Intelligent domestic system and its control method |
| CN107491732A (en) * | 2017-07-17 | 2017-12-19 | 深圳市金立通信设备有限公司 | A kind of identity authentication method and terminal |
| CN107495986A (en) * | 2017-07-21 | 2017-12-22 | 无锡海斯凯尔医学技术有限公司 | The viscoelastic measuring method of medium and device |
| CN107613550A (en) * | 2017-09-27 | 2018-01-19 | 广东欧珀移动通信有限公司 | Solve lock control method and Related product |
| CN108959866A (en) * | 2018-04-24 | 2018-12-07 | 西北大学 | A kind of lasting identity identifying method based on high frequency sound wave frequency |
| CN108959866B (en) * | 2018-04-24 | 2020-10-23 | 西北大学 | Continuous identity authentication method based on high-frequency sound wave frequency |
| CN110111111A (en) * | 2019-04-24 | 2019-08-09 | 上海乂学教育科技有限公司 | Network pay this extra Accounting & Service System |
| CN111552941A (en) * | 2020-04-22 | 2020-08-18 | 歌尔科技有限公司 | Terminal unlocking method and device, electronic equipment and readable storage medium |
| CN111552941B (en) * | 2020-04-22 | 2022-04-26 | 歌尔科技有限公司 | Terminal unlocking method and device, electronic equipment and readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105740763A (en) | Identity recognition method and device | |
| CN110851835B (en) | Image model detection method and device, electronic equipment and storage medium | |
| EP3819822A1 (en) | Image identification method and apparatus, system, and storage medium | |
| CN111368635B (en) | Millimeter wave-based multi-person gait recognition method and device | |
| CN106104574A (en) | Fingerprint identification method, device and terminal | |
| CN105550674A (en) | Method, device and system for verifying identity of target object and mobile terminal | |
| CN108269333A (en) | Face identification method, application server and computer readable storage medium | |
| CN110287918B (en) | Living body identification method and related product | |
| WO2020019591A1 (en) | Method and device used for generating information | |
| CN205540781U (en) | Identity recognition system | |
| CN105184246A (en) | Living body detection method and living body detection system | |
| CN105718920A (en) | Fingerprint identification method and fingerprint identification device | |
| CN102917207A (en) | Motion sequence based abnormal motion vision monitoring system | |
| CN104519351A (en) | Automatic test method for set top boxes | |
| CN113837006B (en) | Face recognition method and device, storage medium and electronic equipment | |
| KR101595544B1 (en) | Apparatus and method for verifying of recognition accuracy of image device of intelligent transportation system | |
| US20120328150A1 (en) | Methods for assisting with object recognition in image sequences and devices thereof | |
| KR20150043795A (en) | Image processing apparatus and control method thereof | |
| Ferrara et al. | Unsupervised fusion for forgery localization exploiting background information | |
| CN104463114A (en) | Method for catching images and quickly recognizing targets and embedded device | |
| WO2022156562A1 (en) | Object recognition method and apparatus based on ultrasonic echo, and storage medium | |
| US20200394289A1 (en) | Biometric verification framework that utilizes a convolutional neural network for feature matching | |
| CN113486734B (en) | Gait recognition method, system, equipment and storage medium | |
| CN106886742A (en) | A kind of method for collecting iris and iris collection device | |
| CN110909603A (en) | Intelligent monitoring system based on support vector machine |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination |