CN107590434A - Identification model update method, device and terminal device - Google Patents
Identification model update method, device and terminal device Download PDFInfo
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- CN107590434A CN107590434A CN201710677622.1A CN201710677622A CN107590434A CN 107590434 A CN107590434 A CN 107590434A CN 201710677622 A CN201710677622 A CN 201710677622A CN 107590434 A CN107590434 A CN 107590434A
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Abstract
The invention discloses a kind of identification model update method, device and terminal device, identification model update method includes:To user's human body projective structure light, and obtain the structure light image by user's human body;The threedimensional model according to corresponding to structure light image generates user's human body;Threedimensional model is matched with default threedimensional model sample, if the match is successful, subscriber authentication success;The threedimensional model being proved to be successful and default threedimensional model sample are subjected to Fusion Features, to be updated to default threedimensional model sample.Identification model update method, device and the terminal device of the embodiment of the present invention, default threedimensional model sample can be updated, so as to improve the accuracy rate of identification model identification.
Description
Technical field
The present invention relates to technical field of information processing, more particularly to a kind of identification model update method, device and terminal to set
It is standby.
Background technology
With the high speed development of Internet technology, authentication is carried out to user using biological characteristic and has gradually been deep into
Among people's daily life.Wherein, biological characteristic refers to uniquely measure or can automatic identification and the physiological characteristic of checking
Or behavior, such as fingerprint, palm shape, retina, iris, vocal print etc..At present, it is mainly former using the refraction and reflection of light
Reason, light project from bottom directive prism through prism, and the light of injection is rolled on the rough strain line of finger surface fingerprint
The angle penetrated and the bright and dark light reflected back will be different.Optics is collected into the image information of different bright-dark degrees,
So as to complete the collection of fingerprint.
But image information is usually two dimensional image, characteristic information does not enrich, and identifies that the sample characteristics of checking are consolidated
Fixed constant, the accuracy rate of identification is low, underaction.
The content of the invention
It is contemplated that at least solves one of technical problem in correlation technique to a certain extent.Therefore, the present invention
One purpose is to propose a kind of identification model update method, device and terminal device, it is possible to increase the standard of identification model identification
True rate.
The embodiment of the present invention provides a kind of identification model update method, including:To user's human body projective structure light, and obtain
By the structure light image of user's human body;The three-dimensional mould according to corresponding to the structure light image generates user's human body
Type;The threedimensional model is matched with default threedimensional model sample, if the match is successful, subscriber authentication into
Work(;The threedimensional model being proved to be successful and default threedimensional model sample are subjected to Fusion Features, with to default threedimensional model sample
Originally it is updated.
Another embodiment of the present invention provides a kind of identification model updating device, including:Acquisition module, for user's human body
Projective structure light, and obtain the structure light image by user's human body;Generation module, for according to the structure light image
Generate threedimensional model corresponding to user's human body;Authentication module, for by the threedimensional model and default threedimensional model sample
This is matched, if the match is successful, subscriber authentication success;Update module, for the threedimensional model that will be proved to be successful
Fusion Features are carried out with default threedimensional model sample, to be updated to default threedimensional model sample.
A further embodiment of the present invention provides a kind of non-transitorycomputer readable storage medium, is stored thereon with computer journey
Sequence, the identification model renewal side as described in first aspect present invention embodiment is realized when the computer program is executed by processor
Method.
Further embodiment of this invention provides a kind of terminal device, including memory, processor and is stored in the memory
Computer program that is upper and can running on the processor, the identification model renewal side described in first aspect present invention embodiment
Method.
Technical scheme provided in an embodiment of the present invention can include the following benefits:
To user's human body projective structure light, and the structure light image by user's human body is obtained, then according to
Structure light image generates threedimensional model corresponding to user's human body, and by the threedimensional model and default threedimensional model sample
Matched, if the match is successful, subscriber authentication success, finally by the threedimensional model being proved to be successful and default three-dimensional
Model sample carries out Fusion Features, to be updated to default threedimensional model sample, so as to improve identification model identification
Accuracy rate.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partly become from the following description
Obtain substantially, or recognized by the practice of the present invention.
Brief description of the drawings
Of the invention above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments
Substantially and it is readily appreciated that, wherein:
Fig. 1 is the flow chart of identification model update method according to an embodiment of the invention;
Fig. 2 is the schematic diagram of a scenario of structural light measurement according to an embodiment of the invention;
Fig. 3 is the flow chart of identification model update method in accordance with another embodiment of the present invention;
Fig. 4 is the structured flowchart of identification model updating device according to an embodiment of the invention;
Fig. 5 is the structured flowchart of identification model updating device in accordance with another embodiment of the present invention;
Fig. 6 is the structural representation of terminal device according to an embodiment of the invention;
Fig. 7 is the schematic diagram of image processing circuit according to an embodiment of the invention.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the present invention, and is not considered as limiting the invention.
Below with reference to the accompanying drawings identification model update method, device and the terminal device of the embodiment of the present invention are described.
Fig. 1 is the flow chart of identification model update method according to an embodiment of the invention.
As shown in figure 1, the identification model update method includes:
S101, to user's human body projective structure light, and obtain the structure light image by user's human body.
It is usually two dimensional image for the characteristic information currently gathered, characteristic information does not enrich, and identifies checking
Sample characteristics immobilize, and the accuracy rate of identification is low, the technical problem of underaction, and the present invention proposes one kind and is based on structure light
The mode of model modification is identified, for the ease of description, the present invention concentrates on to be illustrated applied in authentication scene.
In order to improve the accuracy rate of identification, the relevant information of threedimensional model is carried out to the human body of user using structure light
Collection, such as, laser stripe, Gray code, sine streak or, non-homogeneous speckle etc., thus, because structure light can be based on
The profile and depth information of human body carry out the collection of the relevant information of threedimensional model to user, compared to only gathering two dimensional image
The mode that information is identified, accuracy rate are higher.
More it is apparent from order that obtaining those skilled in the art, the three-dimensional of user how is gathered according to structure light
The relevant information of model, illustrate its concrete principle by taking a kind of widely used fringe projection technology as an example below.Using face
When structured light projection, as shown in Fig. 2 producing sine streak by computer programming, the sine streak is set by projection
Degree of crook that is standby to project to measured object, being modulated using camera shooting striped by object, is demodulated the curved stripes and obtains phase,
Phase is converted into height again.Certainly wherein crucial point is exactly the registration of system, including camera and projector equipment
Registration, be otherwise more likely to produce error.Specifically, the phase of the phase of curved stripes and reference stripe can be subtracted each other to obtain
Phase difference, the phase difference then characterizes elevation information of the measured object with respect to the plane of reference, then substitutes into phase and high-degree of conversion formula, from
And obtain the threedimensional model of object under test.It should be appreciated that in actual applications, according to the difference of concrete application scene, sheet
Structure light employed in inventive embodiments can also be other arbitrary graphic patterns in addition to above-mentioned striped.
In one embodiment of the invention, can be used to user's human body projective structure light so as to get by current
The structure light image of family human body modulation.
S102, the threedimensional model according to corresponding to structure light image generates user's human body.
Principle based on structure light understands, can phase information corresponding to deformation position pixel in demodulation structure light image, then
Phase information is converted into elevation information, then the threedimensional model according to corresponding to elevation information obtains user's human body.
It should be noted that according to the difference of application scenarios, three can be obtained based on structure light image in different ways
Dimension module.
Example 1:Phase information corresponding to deformation position pixel in demodulation structure light image, phase information is converted into height
Information, user's human 3d model corresponding with structure light image is obtained according to elevation information, it is of course also possible to know with reference to profile
Other technology, based on user's human 3d model, the profile of user's human body is identified, threedimensional model is obtained according to the profile.
Example 2:Using relative profile identification technology, position letter of user's human body in overall structure light image is identified
Breath, the phase information of pixel corresponding to human body, elevation information is converted into by phase information in demodulation structure light image, according to the height
Degree information establishes user's human 3d model.
S103, threedimensional model is matched with default threedimensional model sample, if the match is successful, user identity is tested
Demonstrate,prove successfully.
Specifically, characteristics of human body's information of predetermined number can be extracted from threedimensional model, then by characteristics of human body's information with
Characteristics of human body's sample of same position is matched in default threedimensional model sample.Wherein, characteristics of human body's information may include more
Kind, such as height, fat or thin, arm length, hair style.
S104, the threedimensional model being proved to be successful and default threedimensional model sample are subjected to Fusion Features, with to default
Threedimensional model sample is updated.
Specifically, all characteristics of human body's information in the threedimensional model being proved to be successful can be obtained, it is then that all human bodies are special
Reference breath is added in default threedimensional model sample.Wherein, with threedimensional model sample identical characteristics of human body information without more
Newly, the characteristics of human body's information not having in threedimensional model sample need to be only added in threedimensional model sample, passes through self study
Mode so that threedimensional model is more perfect, and more flexible during identification, when being identified next time, accuracy rate is higher.
If checking is unsuccessful, illustrate that active user's human body and threedimensional model sample are not consistent, directly give up current
User characteristics of human body's information.
In addition, as shown in figure 3, it can also include the steps of:
S105, to authentication, successful user authorizes, and performs the corresponding operating in the range of authority.
It is determined that after subscriber authentication success, can also be authorized to the successful user of authentication, and perform extent of competence
Interior corresponding operating, such as gate inhibition's unblock.
The identification model update method of the embodiment of the present invention, to user's human body projective structure light, and obtain by user people
The structure light image of body, the then threedimensional model according to corresponding to structure light image generates user's human body, and by threedimensional model and in advance
If threedimensional model sample matched, if the match is successful, subscriber authentication success, the three-dimensional being finally proved to be successful
Model carries out Fusion Features with default threedimensional model sample, to be updated to default threedimensional model sample, so as to improve
The accuracy rate of identification model identification.
In order to realize above-described embodiment, the invention also provides a kind of identification model updating device, Fig. 4 is according to the present invention
The structured flowchart of the identification model updating device of one embodiment, as shown in figure 4, the device includes acquisition module 100, generation mould
Block 200, authentication module 300 and update module 400.
Wherein, acquisition module 100, for user's human body projective structure light, and the structure light by user's human body is obtained
Image;
Generation module 200, for the threedimensional model according to corresponding to structure light image generation user's human body;
Authentication module 300, for threedimensional model to be matched with default threedimensional model sample, if the match is successful,
Then subscriber authentication success;
Update module 400, for the threedimensional model being proved to be successful and default threedimensional model sample to be carried out into Fusion Features,
To be updated to default threedimensional model sample.
In one embodiment of the invention, if Fig. 5 is authentication means in accordance with another embodiment of the present invention
Structured flowchart, as shown in figure 5, the device also includes execution module 500.
Wherein, execution module 500, for it is determined that after subscriber authentication success, successful user to award to authentication
Power, and perform the corresponding operating in the range of authority.
It should be noted that the foregoing explanation to identification model update method, is also applied for the embodiment of the present invention
Identification model updating device, unpub details in the embodiment of the present invention, will not be repeated here.
The identification model updating device of the embodiment of the present invention, to user's human body projective structure light, and obtain by user people
The structure light image of body, the then threedimensional model according to corresponding to structure light image generates user's human body, and by threedimensional model and in advance
If threedimensional model sample matched, if the match is successful, subscriber authentication success, the three-dimensional being finally proved to be successful
Model carries out Fusion Features with default threedimensional model sample, to be updated to default threedimensional model sample, so as to improve
The accuracy rate of identification model identification.
In order to realize above-described embodiment, the present invention also proposes a kind of non-transitorycomputer readable storage medium, deposited thereon
Computer program is contained, the identification model renewal such as previous embodiment can be realized when the computer program is executed by processor
Method.
In order to realize above-described embodiment, the invention also provides a kind of terminal device.
As shown in fig. 6, the terminal device includes:Processor 61, memory 62 and image processing circuit 63.
Wherein, memory 62 is used to store executable program code;What processor 61 was stored by reading in memory 62
Executable program code, and image processing circuit 63 are handled image, to realize such as the identification model in previous embodiment
Update method.
Specifically, image processing circuit 63 can utilize hardware and/or component software to realize, it may include define ISP
The various processing units of (Image Signal Processing, picture signal processing) pipeline.
Fig. 7 is the schematic diagram of image processing circuit in one embodiment.As shown in fig. 7, for purposes of illustration only, only show and this
The various aspects of the related image processing techniques of inventive embodiments.
As shown in fig. 7, image processing circuit includes imaging device 710, ISP processors 730 and control logic device 740.Into
As equipment 710 may include there is one or more lens 712, the camera of imaging sensor 714 and structured light projector 716.
Structured light projector 716 is by structured light projection to measured object.Wherein, the structured light patterns can be laser stripe, Gray code, sine
Striped or, speckle pattern of random alignment etc..Imaging sensor 714 catches the structure light image that projection is formed to measured object,
And send structure light image to ISP processors 730, acquisition measured object is demodulated to structure light image by ISP processors 730
Depth information.Meanwhile imaging sensor 714 can also catch the color information of measured object.It is of course also possible to by two images
Sensor 714 catches the structure light image and color information of measured object respectively.
Wherein, by taking pattern light as an example, ISP processors 730 are demodulated to structure light image, are specifically included, from this
The speckle image of measured object is gathered in structure light image, by the speckle image of measured object with reference speckle image according to pre-defined algorithm
View data calculating is carried out, each speckle point for obtaining speckle image on measured object dissipates relative to reference to the reference in speckle image
The displacement of spot.The depth value of each speckle point of speckle image is calculated using trigonometry conversion, and according to the depth
Angle value obtains the depth information of measured object.
It is, of course, also possible to obtain the depth image by the method for binocular vision or based on jet lag TOF method
Information etc., is not limited herein, as long as can obtain or belong to this by the method for the depth information that measured object is calculated
The scope that embodiment includes.
After the color information that ISP processors 730 receive the measured object that imaging sensor 714 captures, it can be tested
View data corresponding to the color information of thing is handled.ISP processors 730 are analyzed view data can be used for obtaining
It is determined that and/or imaging device 710 one or more control parameters image statistics.Imaging sensor 714 may include color
Color filter array (such as Bayer filters), imaging sensor 714 can obtain to be caught with each imaging pixel of imaging sensor 714
Luminous intensity and wavelength information, and provide one group of raw image data being handled by ISP processors 730.
ISP processors 730 handle raw image data pixel by pixel in various formats.For example, each image pixel can
Bit depth with 8,10,12 or 14 bits, ISP processors 730 can be carried out at one or more images to raw image data
Reason operation, image statistics of the collection on view data.Wherein, image processing operations can be by identical or different bit depth
Precision is carried out.
ISP processors 730 can also receive pixel data from video memory 720.Video memory 720 can be memory device
The independent private memory in a part, storage device or electronic equipment put, and may include DMA (Direct Memory
Access, direct direct memory access (DMA)) feature.
When receiving raw image data, ISP processors 730 can carry out one or more image processing operations.
After ISP processors 730 get color information and the depth information of measured object, it can be merged, obtained
3-D view.Wherein, can be extracted by least one of appearance profile extracting method or contour feature extracting method corresponding
The feature of measured object.Such as pass through active shape model method ASM, active appearance models method AAM, PCA PCA, discrete
The methods of cosine transform method DCT, the feature of measured object is extracted, is not limited herein.It will be extracted respectively from depth information again
The feature of measured object and feature progress registration and the Fusion Features processing that measured object is extracted from color information.Herein refer to
Fusion treatment can be the feature that will be extracted in depth information and color information directly combination or by different images
Middle identical feature combines after carrying out weight setting, it is possibility to have other amalgamation modes, finally according to the feature after fusion, generation
3-D view.
The view data of 3-D view can be transmitted to video memory 720, to carry out other place before shown
Reason.ISP processors 730 from the reception processing data of video memory 720, and to processing data carry out original domain in and RGB and
Image real time transfer in YCbCr color spaces.The view data of 3-D view may be output to display 760, so that user sees
See and/or further handled by graphics engine or GPU (Graphics Processing Unit, graphics processor).In addition,
The output of ISP processors 730 also can be transmitted to video memory 720, and display 760 can read from video memory 720 and scheme
As data.In one embodiment, video memory 720 can be configured as realizing one or more frame buffers.In addition, ISP
The output of processor 730 can be transmitted to encoder/decoder 750, so as to encoding/decoding image data.The view data of coding
It can be saved, and be decompressed before being shown in the equipment of display 760.Encoder/decoder 750 can be by CPU or GPU or association
Processor is realized.
The image statistics that ISP processors 730 determine, which can be transmitted, gives the unit of control logic device 740.Control logic device 740
It may include the processor and/or microcontroller for performing one or more routines (such as firmware), one or more routines can be according to connecing
The image statistics of receipts, determine the control parameter of imaging device 710.
It should be noted that the foregoing explanation to auth method embodiment is also applied for the terminal of the embodiment
Equipment, its realization principle is similar, and here is omitted.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or the spy for combining the embodiment or example description
Point is contained at least one embodiment or example of the present invention.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example must be directed to.Moreover, specific features, structure, material or the feature of description can be with office
Combined in an appropriate manner in one or more embodiments or example.In addition, in the case of not conflicting, the skill of this area
Art personnel can be tied the different embodiments or example and the feature of different embodiments or example described in this specification
Close and combine.
Although embodiments of the invention have been shown and described above, it is to be understood that above-described embodiment is example
Property, it is impossible to limitation of the present invention is interpreted as, one of ordinary skill in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, changed, replacing and modification.
Claims (12)
- A kind of 1. identification model update method, it is characterised in that including:To user's human body projective structure light, and obtain the structure light image by user's human body;The threedimensional model according to corresponding to the structure light image generates user's human body;The threedimensional model is matched with default threedimensional model sample, if the match is successful, subscriber authentication into Work(;The threedimensional model being proved to be successful and default threedimensional model sample are subjected to Fusion Features, with to default threedimensional model sample Originally it is updated.
- 2. the method as described in claim 1, it is characterised in that it is corresponding that user's human body is generated according to the structure light image Threedimensional model, including:Demodulate phase information corresponding to deformation position pixel in the structure light image;The phase information is converted into elevation information;The threedimensional model according to corresponding to the elevation information obtains user's human body.
- 3. the method as described in claim 1, it is characterised in that carry out the threedimensional model and default threedimensional model sample Matching, including:Characteristics of human body's information of predetermined number is extracted from the threedimensional model;Characteristics of human body's information is matched with characteristics of human body's sample of same position in default threedimensional model sample.
- 4. the method as described in claim 1, it is characterised in that by the threedimensional model being proved to be successful and default threedimensional model sample This progress Fusion Features, including:Obtain all characteristics of human body's information in the threedimensional model being proved to be successful;All characteristics of human body's information are added in the default threedimensional model sample.
- 5. the method as described in claim 1, it is characterised in that after it is determined that subscriber authentication is successful, in addition to:To authentication, successful user authorizes, and performs the corresponding operating in the range of authority.
- A kind of 6. identification model updating device, it is characterised in that including:Acquisition module, for user's human body projective structure light, and obtain the structure light image by user's human body;Generation module, for the threedimensional model according to corresponding to structure light image generation user's human body;Authentication module, for the threedimensional model to be matched with default threedimensional model sample, if the match is successful, use Family authentication success;Update module, for the threedimensional model being proved to be successful and default threedimensional model sample to be carried out into Fusion Features, with to pre- If threedimensional model sample be updated.
- 7. device as claimed in claim 6, it is characterised in that the generation module, be used for:Demodulate phase information corresponding to deformation position pixel in the structure light image;The phase information is converted into elevation information;The threedimensional model according to corresponding to the elevation information obtains user's human body.
- 8. device as claimed in claim 6, it is characterised in that the authentication module, be used for:Characteristics of human body's information of predetermined number is extracted from the threedimensional model;Characteristics of human body's information is matched with characteristics of human body's sample of same position in default threedimensional model sample.
- 9. device as claimed in claim 6, it is characterised in that the update module, be used for:Obtain all characteristics of human body's information in the threedimensional model being proved to be successful;All characteristics of human body's information are added in the default threedimensional model sample.
- 10. device as claimed in claim 6, it is characterised in that also include:Execution module, for it is determined that after subscriber authentication success, successful user to authorize to authentication, and performs authority In the range of corresponding operating.
- 11. a kind of non-transitorycomputer readable storage medium, is stored thereon with computer program, it is characterised in that the program The identification model update method as described in claim any one of 1-5 is realized when being executed by processor.
- 12. a kind of terminal device, it is characterised in that including memory and processor, storing computer in the memory can Reading instruction, when the instruction is by the computing device so that the computing device such as any one of claim 1 to 5 institute The identification model update method stated.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110268419A (en) * | 2019-05-08 | 2019-09-20 | 深圳市汇顶科技股份有限公司 | A kind of face identification method, face identification device and computer readable storage medium |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101388114A (en) * | 2008-09-03 | 2009-03-18 | 北京中星微电子有限公司 | Method and system for estimating human body attitudes |
CN104246793A (en) * | 2012-04-25 | 2014-12-24 | 华为技术有限公司 | Three-dimensional face recognition for mobile devices |
CN104376249A (en) * | 2014-11-28 | 2015-02-25 | 苏州福丰科技有限公司 | Automatic teller system and processing method based on three-dimensional face recognition |
CN105224930A (en) * | 2015-10-19 | 2016-01-06 | 广东欧珀移动通信有限公司 | A kind of method and apparatus of fingerprint recognition |
CN105303176A (en) * | 2015-10-19 | 2016-02-03 | 广东欧珀移动通信有限公司 | Fingerprint template updating method and device |
CN105447454A (en) * | 2015-11-13 | 2016-03-30 | 广东欧珀移动通信有限公司 | Fingerprint template improving method, device and terminal device |
US20160134840A1 (en) * | 2014-07-28 | 2016-05-12 | Alexa Margaret McCulloch | Avatar-Mediated Telepresence Systems with Enhanced Filtering |
CN105654034A (en) * | 2015-12-22 | 2016-06-08 | 成都比善科技开发有限公司 | Electronic lock unlocking method based on finger vein recognition |
US20160205346A1 (en) * | 2013-08-09 | 2016-07-14 | Samsung Electronics Co., Ltd. | Hybrid visual communication |
CN106156702A (en) * | 2015-04-01 | 2016-11-23 | 北京市商汤科技开发有限公司 | Identity identifying method and equipment |
-
2017
- 2017-08-09 CN CN201710677622.1A patent/CN107590434A/en active Pending
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101388114A (en) * | 2008-09-03 | 2009-03-18 | 北京中星微电子有限公司 | Method and system for estimating human body attitudes |
CN104246793A (en) * | 2012-04-25 | 2014-12-24 | 华为技术有限公司 | Three-dimensional face recognition for mobile devices |
US20160205346A1 (en) * | 2013-08-09 | 2016-07-14 | Samsung Electronics Co., Ltd. | Hybrid visual communication |
US20160134840A1 (en) * | 2014-07-28 | 2016-05-12 | Alexa Margaret McCulloch | Avatar-Mediated Telepresence Systems with Enhanced Filtering |
CN104376249A (en) * | 2014-11-28 | 2015-02-25 | 苏州福丰科技有限公司 | Automatic teller system and processing method based on three-dimensional face recognition |
CN106156702A (en) * | 2015-04-01 | 2016-11-23 | 北京市商汤科技开发有限公司 | Identity identifying method and equipment |
CN105224930A (en) * | 2015-10-19 | 2016-01-06 | 广东欧珀移动通信有限公司 | A kind of method and apparatus of fingerprint recognition |
CN105303176A (en) * | 2015-10-19 | 2016-02-03 | 广东欧珀移动通信有限公司 | Fingerprint template updating method and device |
CN105447454A (en) * | 2015-11-13 | 2016-03-30 | 广东欧珀移动通信有限公司 | Fingerprint template improving method, device and terminal device |
CN105654034A (en) * | 2015-12-22 | 2016-06-08 | 成都比善科技开发有限公司 | Electronic lock unlocking method based on finger vein recognition |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110268419A (en) * | 2019-05-08 | 2019-09-20 | 深圳市汇顶科技股份有限公司 | A kind of face identification method, face identification device and computer readable storage medium |
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