CN108280422A - The method and apparatus of face for identification - Google Patents
The method and apparatus of face for identification Download PDFInfo
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- CN108280422A CN108280422A CN201810059846.0A CN201810059846A CN108280422A CN 108280422 A CN108280422 A CN 108280422A CN 201810059846 A CN201810059846 A CN 201810059846A CN 108280422 A CN108280422 A CN 108280422A
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- image
- threshold value
- predetermined threshold
- face object
- face
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
Abstract
The method and apparatus that the embodiment of the present application discloses face for identification.One specific implementation mode of this method includes：Obtain the image of the user of pending authentication；The similarity for inquiring the face object that the face object for including at least one image group includes with acquired image is more than the image of predetermined threshold value；Image group where the image inquired is determined as target image group, and determines whether the qualitative data of acquired image matches with preset data area；In response to determining that qualitative data is matched with preset data area, acquired image is added in target image group.This embodiment improves the efficiency of recognition of face.
Description
Technical field
The invention relates to field of computer technology, the method and apparatus for more particularly, to identifying face.
Background technology
Face recognition technology is the artificial intelligence technology that the face feature based on user verifies the identity of user.Mesh
Before, the mode of generally use is：The image for obtaining the user of pending authentication, finds out in face identification system and includes
Face object and the highest registered images of face object similarity in the image of the user of collected pending authentication,
When highest similarity is more than similarity threshold, then pass through the authentication of the user of pending authentication.
Invention content
The method and apparatus that the embodiment of the present application proposes face for identification.
In a first aspect, the embodiment of the present application provides a kind of method of face for identification, this method includes：Acquisition wait for into
The image of the user of row authentication；Inquire the face object for including at least one image group includes with acquired image
The similarity of face object is more than the image of predetermined threshold value；Image group where the image inquired is determined as target image
Group, and determine whether the qualitative data of acquired image matches with preset data area；In response to determining mass number
It is matched according to preset data area, acquired image is added in target image group.
In some embodiments, target image group includes that image is added with rear in registered images；And inquiry is at least one
The similarity for the face object that the face object for including in image group includes with acquired image is more than the image of predetermined threshold value,
Including：The similarity for inquiring the face object that the face object for including at least one image group includes with acquired image is super
Cross the face object for including in the registered images of the first predetermined threshold value, or at least one image group of inquiry and acquired image packet
The similarity of the face object contained is more than the rear addition image of the second predetermined threshold value.
In some embodiments, the second predetermined threshold value is more than the first predetermined threshold value.
In some embodiments, inquire the face object for including at least one image group includes with acquired image
The similarity of face object is more than the image of predetermined threshold value, including：Determine the people that registered images include at least one image group
Face object is more than the image group of third predetermined threshold value with the rear similarity that the face object that image includes is added；Determined by inquiry
The similarity for the face object that the face object for including in image group includes with acquired image is more than the second predetermined threshold value
After image is added.
In some embodiments, it determines whether the qualitative data of acquired image matches with preset data area, wraps
It includes：Whether the brightness of the image acquired in determining and clarity are more than the 4th predetermined threshold value.
Second aspect, the embodiment of the present application provide a kind of device of face for identification, which includes：It obtains single
Member, the image of the user for obtaining pending authentication；Query unit includes for inquiring at least one image group
The similarity for the face object that face object includes with acquired image is more than the image of predetermined threshold value；Determination unit is used for
Image group where the image inquired is determined as target image group, and determine acquired image qualitative data whether
It is matched with preset data area；Adding device, in response to determining that qualitative data is matched with preset data area,
Acquired image is added in target image group.
In some embodiments, target image group includes that image is added with rear in registered images；And query unit, into one
Step is configured to：Inquire the phase for the face object that the face object for including at least one image group includes with acquired image
The face object that includes in registered images like degree more than the first predetermined threshold value, or at least one image group of inquiry and acquired
The similarity for the face object that image includes is more than the rear addition image of the second predetermined threshold value.
In some embodiments, the second predetermined threshold value is more than the first predetermined threshold value.
In some embodiments, query unit, including：Determination subelement is registered for determining at least one image group
The face object that image includes is more than the image group of third predetermined threshold value with the rear similarity that the face object that image includes is added；
Subelement is inquired, the face object for including with acquired image for inquiring the face object for including in identified image group
Similarity be more than the second predetermined threshold value rear addition image.
In some embodiments, determination unit is further configured to：Determine brightness and the clarity of acquired image
Whether more than the 4th predetermined threshold value.
The third aspect, the embodiment of the present application provide a kind of equipment, including：One or more processors；Storage device is used
In the one or more programs of storage, when said one or multiple programs are executed by said one or multiple processors so that above-mentioned
One or more processors realize such as the above-mentioned method of first aspect.
Fourth aspect, the embodiment of the present application provide a kind of computer readable storage medium, are stored thereon with computer journey
Sequence, which is characterized in that such as first aspect above-mentioned method is realized when the program is executed by processor.
The method and apparatus of face for identification provided by the embodiments of the present application, by the use for obtaining pending authentication
The image at family, and inquire the phase for the face object that the face object for including at least one image group includes with acquired image
Image group where the image inquired is then determined as target image group by the image like degree more than predetermined threshold value, and really
Whether the qualitative data of fixed acquired image match with preset data area, finally in response to determine qualitative data in advance
If data area matching, acquired image is added in target image group, to improve the efficiency of recognition of face.
Description of the drawings
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon：
Fig. 1 is that this application can be applied to exemplary system architecture figures therein；
Fig. 2 is the flow chart according to one embodiment of the method for the face for identification of the application；
Fig. 3 is a schematic diagram according to the application scenarios of the method for the face for identification of the application；
Fig. 4 is the flow chart according to another embodiment of the method for the face for identification of the application；
Fig. 5 is the structural schematic diagram according to one embodiment of the device of the face for identification of the application；
Fig. 6 is adapted for the structural schematic diagram of the computer system of the server for realizing the embodiment of the present application.
Specific implementation mode
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, is illustrated only in attached drawing and invent relevant part with related.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 shows the method that can apply the face for identification of the application or the implementation of the device of face for identification
The exemplary system architecture 100 of example.
As shown in Figure 1, system architecture may include gate 101, terminal 102, gate 103, network 104, server 105,
106.Terminal device 101, terminal device 102 can be the various electronic equipments for having camera, including but not limited to intelligent hand
Machine, tablet computer, E-book reader, pocket computer on knee and desktop computer etc..
Terminal device 101, terminal device 102, gate 103 can acquire the user of pending authentication by camera
Image, then inquire the phase for the face object that the face object for including at least one image group includes with acquired image
Image like degree more than predetermined threshold value；Image group where the image inquired is determined as target image group, and determines institute
Whether the qualitative data of the image of acquisition matches with preset data area；In response to determining qualitative data and preset data
Acquired image is added in commensurate in scope in target image group.
Terminal device 101, terminal device 102, gate 103 can also acquire pending authentication by camera
After the image of user, the image collected is sent to server 105,106 by network 104, server 105,106 can be
The server of various services is provided, such as the recognition of face run on terminal device 101, terminal device 102, gate 103 is answered
With providing the background server supported, after the image for the user that server 105,106 gets pending authentication, Ke Yicha
The similarity for asking the face object that the face object for including at least one image group includes with acquired image is more than default
The image of threshold value；Image group where the image inquired is determined as target image group, and determines acquired image
Whether qualitative data matches with preset data area；In response to determining that qualitative data is matched with preset data area,
Acquired image is added in target image group.
It should be noted that the method for the face for identification that the embodiment of the present application is provided can by terminal device 101,
Terminal device 102, gate 103 or server 105,106 execute, and correspondingly, the device of face can be set to end for identification
In end equipment 101, terminal device 102, gate 103 or server 105,106.
It should be understood that the number of the terminal device, gate, network and server in Fig. 1 is only schematical.According to reality
It now needs, can have any number of terminal device, gate, network and server.
With continued reference to Fig. 2, the flow of one embodiment of the method for the face for identification according to the application is shown
200.The method of the face for identification, includes the following steps：
Step 201, the image of the user of pending authentication is obtained.
In the present embodiment, electronic equipment (such as the electronics shown in FIG. 1 of the method operation of face thereon for identification
Equipment) user images that pending authentication can be acquired by camera, to obtain the user of pending authentication
Image.It is any to be collected its image by face identification system and can be referred to as user per capita with carry out authentication.
In the present embodiment, the identity of user can be verified by face identification system.As an example, working as user
When reaching near the gate of operation face identification system, need to lead to user's progress authentication by face identification system
Cross gate.It can take pictures first to the user, collect the image of the user.
Step 202, the face pair that the face object for including at least one image group includes with acquired image is inquired
The similarity of elephant is more than the image of predetermined threshold value.
In the present embodiment, above-mentioned electronic equipment can inquire the face object for including at least one image group and step
The similarity for the face object that acquired image includes in 201 is more than the image of predetermined threshold value.In at least one image group
Each image group can be associated with a user identifier, and the image in face identification system in the image group includes the people of the user
Face object.The face of user in the picture can be referred to as the corresponding face object of face of user.For the people in image
For face object, when the corresponding face object of the face in an image only including user, then the image can be referred to as to use
The image at family.For example, the image of user can be the certificate photo for the corresponding face object of face for only including a user.
In the present embodiment, include with acquired image if inquiring the face object for including at least one image group
Face object similarity be more than predetermined threshold value image, can also determine that the user of pending authentication is tested by identity
Card, user identifier in face identification system are and the associated user identifier of image that inquires.
In the present embodiment, similarity can be the similarity of the feature of two face objects.The feature of face object can
To be indicated using facial feature points.When calculating the similarity of two face objects, two face objects can be generated respectively
The corresponding characteristic point vector of facial feature points, then the cosine similarity of two characteristic point vectors of generation is calculated, by the cosine phase
Similarity like degree as two face objects.The feature vector of face object can also be obtained via following steps, then base
The similarity of two face objects is obtained in the model that machine learning algorithm trains：Image is split, face pair is obtained
As region, the feature of face object is then obtained by convolutional neural networks.
Predetermined threshold value can be configured according to actual needs, such as higher threshold can be arranged in when picture quality is higher
Value.Predetermined threshold value can also be a variable value for being associated with predefined setting rule, for example, can calculate separately at least
Face object that one or more image that each image group includes in one image group includes includes with acquired image
The similarity of face object is ranked up according to the descending sequence of similarity, will be come deputy similarity and is determined as
Predetermined threshold value.
In some optional realization methods of the present embodiment, target image group includes that image is added with rear in registered images；
And the similarity of the face object at least one image group of inquiry the including face object that includes with acquired image is super
The image of predetermined threshold value is crossed, including：Inquire the face object for including at least one image group includes with acquired image
The similarity of face object is more than the registered images of the first predetermined threshold value, or the face pair for including at least one image group of inquiry
As the similarity for the face object for including with acquired image is more than the rear addition image of the second predetermined threshold value.
In this realization method, registered images refer to the image that user actively submits or determines, can refer to knowing in face
Other system to user before carrying out authentication, the image of the user got in advance, for example, user is in face identification system
The image of the user submitted when middle registration, registration make the image of user's submission and the account of user establish correspondence, use
Family can also subsequently log in face identification system modification registered images.Second predetermined threshold value can be according to reality with the first predetermined threshold value
Border needs to be configured, for example, for gate, predetermined threshold value can be accordingly turned down when needing percent of pass higher.
As an example, for identification the method operation gate thereon of face for the first time to user carry out authentication it
Before, it can be sent to server, then by servicing by the terminal of the user by the certificate photo of the image of the user, such as the user
The image of the user is sent to gate by device.The face identification system operated on gate can receive the image of the user,
The corresponding image group of the user is created, the user couple of establishment is added to using the image of the user received as registered images
In the image group answered.
It can belong to the user other than registered images in the corresponding image group of a user that image is added afterwards
Image be added into this for example, the user is collected when passing through authentication each time in history authentication process itself
Image in the corresponding image group of user.
In some optional realization methods of the present embodiment, the second predetermined threshold value is more than the first predetermined threshold value.Added due to rear
Enter the acquisition time of image with time for carrying out authentication more closely, the angle and environment of image taking are also similar,
The face object that the image that face object that image includes and the user for obtaining pending authentication are added later includes it
Between similarity answer bigger, so the second predetermined threshold value can be more than the first predetermined threshold value.
Step 203, the image group where the image inquired is determined as target image group, and determines acquired figure
Whether the qualitative data of picture matches with preset data area.
In the present embodiment, above-mentioned electronic equipment can be in response to inquiring the face object for including and institute in step 202
The similarity for the face object that the image of acquisition includes is more than the image of predetermined threshold value, by the image group where the image inquired
It is determined as target image group, and determines whether the qualitative data of acquired image matches with preset data area.Target
Image group may be considered carries out the figure with the user-association determined when authentication to the user of pending authentication
As group.
Qualitative data may include brightness, clarity and the number for characterizing the pose of face object in image of image
According under normal circumstances, the quality of face image is better than the quality of side face image, for characterizing the pose of face object in image
The model that data can be trained via machine learning algorithm obtains.
In some optional realization methods of the present embodiment, determine acquired image qualitative data whether with it is preset
Data area matches, including：Whether the brightness of the image acquired in determining and clarity are more than the 4th predetermined threshold value.4th is default
Threshold value can be configured according to actual needs, and the brightness of image and clarity reach the 4th predetermined threshold value and can ensure to extract
Correct face characteristic, to carry out the calculating of similarity.
Step 204, in response to determining that qualitative data is matched with preset data area, institute is added in target image group
The image of acquisition.
In the present embodiment, above-mentioned electronic equipment can be in response to determining qualitative data and preset number in step 203
According to commensurate in scope, acquired image is added in target image group.Acquired image is newly added in target image group, after
It, can be according to original image in image group and the image being newly added when the continuous progress authentication to user.
It is a signal according to the application scenarios of the method for the face for identification of the present embodiment with continued reference to Fig. 3, Fig. 3
Figure.In the application scenarios of Fig. 3, camera 302 collects the image 303 of the user of pending authentication, and will collect
Image 303 be sent to electronic equipment 301, electronic equipment 301 obtains the image 303 of the user of pending authentication, inquiry
The similarity for the face object that the face object for including at least one image group 304 includes with acquired image 303 is more than
The image of predetermined threshold value；In response to inquiring the phase for the face object that the face object for including includes with acquired image 303
Image group where the image inquired is determined as target image group 305, and determined by the image like degree more than predetermined threshold value
Whether the qualitative data of acquired image matches with preset data area；In response to determining qualitative data and preset number
According to commensurate in scope, acquired image is added in target image group 305.
The image that the method that above-described embodiment of the application provides passes through the user of the pending authentication of acquisition；Inquiry is extremely
The similarity for the face object that the face object for including in a few image group includes with acquired image is more than predetermined threshold value
Image；Image group where the image inquired is determined as target image group, and determines the quality of acquired image
Whether data match with preset data area；In response to determining that qualitative data is matched with preset data area, in target
Acquired image is added in image group, the facial characteristics of the user embodied by the acquisition picture of rear addition and user are current
Facial characteristics it is closest, face subsequently can be more fast and accurately identified, to improve the efficiency of recognition of face.
With further reference to Fig. 4, it illustrates the flows 400 of another embodiment of the method for face for identification.The use
In the flow 400 of the method for identification face, include the following steps：
Step 401, the image of the user of pending authentication is obtained.
In the present embodiment, electronic equipment (such as the electronics shown in FIG. 1 of the method operation of face thereon for identification
Equipment) can obtain first pending authentication user image.
Step 402, determine that the face object that registered images include at least one image group includes with the rear image that is added
The similarity of face object is more than the image group of third predetermined threshold value.
In the present embodiment, above-mentioned electronic equipment can determine the face pair that registered images include at least one image group
As the similarity for the face object for including with rear addition image is more than the image group of third predetermined threshold value.In at least one image group
Some image groups may include that image is added with rear in registered images,
Third predetermined threshold value can be configured according to actual needs, the face object that registered images include and rear addition figure
As comprising the similarity of face object be less than third predetermined threshold value, illustrate that the facial characteristics of the registered images of the user is close with it
The facial characteristics difference of phase is larger, it may be possible to caused by the registered images of the user have passed through the reasons such as image procossing.So also
The facial characteristics of the facial characteristics that another user may be caused recent and the registered images of the user is closer to, in authentication
Shi Keneng occurs accidentally to know.For example, when carrying out authentication to party A-subscriber collected party A-subscriber image, with party B-subscriber's associated diagram
As the registered images in group are very close, it is party B-subscriber that face identification system may be caused, which accidentally to know party A-subscriber,.
Step 403, the face pair that the face object for including in image group determined by inquiring includes with acquired image
The similarity of elephant is more than the rear addition image of the second predetermined threshold value.
In the present embodiment, the face pair that above-mentioned electronic equipment can be to include in image group determined by query steps 402
As the similarity for the face object for including with image acquired in step 401 is more than the rear addition image of the second predetermined threshold value.
In this step, the feature for the face object for including for registered images and the rear feature phase that the face object that image includes is added
The larger image group of difference, the rear addition image for including only in accordance with it calculates similarity,, can be with this to carry out authentication etc.
The image for avoiding the collected party A-subscriber when carrying out authentication to party A-subscriber, with the registered images in party B-subscriber's associated images group
Close, party A-subscriber is missed the case where knowledge is party B-subscriber by caused face identification system.
Step 404, the image group where the image inquired is determined as target image group, and determines acquired figure
Whether the qualitative data of picture matches with preset data area.
In the present embodiment, above-mentioned electronic equipment can be wrapped in response to being inquired in step 403 in identified image group
The similarity for the face object that the face object contained includes with acquired image is more than the rear addition image of the second predetermined threshold value,
Image group where the image inquired is determined as target image group, and determine acquired image qualitative data whether
It is matched with preset data area.
Step 405, in response to determining that qualitative data is matched with preset data area, institute is added in target image group
The image of acquisition.
In the present embodiment, above-mentioned electronic equipment can be in response to determining qualitative data and preset number in step 404
According to commensurate in scope, acquired image is added in target image group.
In the present embodiment, step 401, step 404, operation and the step 201 of step 405, step 203, step 204
Operate essentially identical, details are not described herein.
Figure 4, it is seen that compared with the corresponding embodiments of Fig. 2, the method for the face for identification in the present embodiment
Flow 400 in include according to registered images in image group face object the similar of face object that image includes is added to rear
Degree, is defined image based on recognition of face, another user can be identified as to avoid by a user with this, by
This, the scheme of the present embodiment description further improves the efficiency of recognition of face.
With further reference to Fig. 5, as the realization to method shown in above-mentioned each figure, this application provides a kind of people for identification
One embodiment of the device of face, the device embodiment is corresponding with embodiment of the method shown in Fig. 2, which can specifically answer
For in various electronic equipments.
As shown in figure 5, the device 500 of the face for identification of the present embodiment includes：Acquiring unit 501, query unit
502, determination unit 503 and adding device 504.Wherein, acquiring unit 501, the user for obtaining pending authentication
Image；Query unit 502, the people for including for inquiring the face object for including at least one image group and acquired image
The similarity of face object is more than the image of predetermined threshold value；Determination unit 503, for the image group where the image inquired is true
It is set to target image group, and determines whether the qualitative data of acquired image matches with preset data area；Addition is single
Member 504, in response to determining that qualitative data match with preset data area, in target image group acquired in addition
Image.
In the present embodiment, acquiring unit 501, query unit 502, the determination unit of the device 500 of face for identification
503 and adding device 504 specific processing can in 2 corresponding embodiment of reference chart step 201, step 202, step 203 and
Step 204.
In some optional realization methods of the present embodiment, target image group includes that image is added with rear in registered images；
And query unit 502, further it is configured to：Inquire the face object for including at least one image group and acquired figure
As comprising the similarity of face object be more than the registered images of the first predetermined threshold value, or inquire at least one image group and include
The face object face object that includes with acquired image similarity be more than the second predetermined threshold value rear addition image.
In some optional realization methods of the present embodiment, the second predetermined threshold value is more than the first predetermined threshold value.
In some optional realization methods of the present embodiment, query unit 502, including：Determination subelement (is not shown in figure
Go out), the face object for including with rear addition image for determining the face object that registered images include at least one image group
Similarity be more than third predetermined threshold value image group；Subelement (not shown) is inquired, for inquiring identified image
The similarity for the face object that the face object for including in group includes with acquired image is more than that the rear of the second predetermined threshold value adds
Enter image.
In some optional realization methods of the present embodiment, determination unit 503 is further configured to：Acquired in determination
Image brightness and clarity whether more than the 4th predetermined threshold value.
The device that above-described embodiment of the application provides, the image of the user by obtaining pending authentication；Inquiry
The similarity for the face object that the face object for including at least one image group includes with acquired image is more than default threshold
The image of value；Image group where the image inquired is determined as target image group, and determines the matter of acquired image
Whether amount data match with preset data area；In response to determining that qualitative data is matched with preset data area, in mesh
Acquired image is added in logo image group, to improve the efficiency of recognition of face.
Below with reference to Fig. 6, it illustrates the computer systems 600 suitable for the electronic equipment for realizing the embodiment of the present application
Structural schematic diagram.Electronic equipment shown in Fig. 6 is only an example, to the function of the embodiment of the present application and should not use model
Shroud carrys out any restrictions.
As shown in fig. 6, computer system 600 includes central processing unit (CPU) 601, it can be read-only according to being stored in
Program in memory (ROM) 602 or be loaded into the program in random access storage device (RAM) 603 from storage section 608 and
Execute various actions appropriate and processing.In RAM 603, also it is stored with system 600 and operates required various programs and data.
CPU 601, ROM 602 and RAM 603 are connected with each other by bus 604.Input/output (I/O) interface 605 is also connected to always
Line 604.
It is connected to I/O interfaces 605 with lower component：Importation 606 including keyboard, mouse etc.；It is penetrated including such as cathode
The output par, c 607 of spool (CRT), liquid crystal display (LCD) etc. and loud speaker etc.；Storage section 608 including hard disk etc.；
And the communications portion 609 of the network interface card including LAN card, modem etc..Communications portion 609 via such as because
The network of spy's net executes communication process.Driver 610 is also according to needing to be connected to I/O interfaces 605.Detachable media 611, such as
Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on driver 610, as needed in order to be read from thereon
Computer program be mounted into storage section 608 as needed.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product comprising be carried on computer-readable medium
On computer program, which includes the program code for method shown in execution flow chart.In such reality
It applies in example, which can be downloaded and installed by communications portion 609 from network, and/or from detachable media
611 are mounted.When the computer program is executed by central processing unit (CPU) 601, limited in execution the present processes
Above-mentioned function.It should be noted that computer-readable medium described herein can be computer-readable signal media or
Computer readable storage medium either the two arbitrarily combines.Computer readable storage medium for example can be --- but
Be not limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or arbitrary above combination.
The more specific example of computer readable storage medium can include but is not limited to：Electrical connection with one or more conducting wires,
Portable computer diskette, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only deposit
Reservoir (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory
Part or above-mentioned any appropriate combination.In this application, computer readable storage medium can any be included or store
The tangible medium of program, the program can be commanded the either device use or in connection of execution system, device.And
In the application, computer-readable signal media may include the data letter propagated in a base band or as a carrier wave part
Number, wherein carrying computer-readable program code.Diversified forms may be used in the data-signal of this propagation, including but not
It is limited to electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer
Any computer-readable medium other than readable storage medium storing program for executing, the computer-readable medium can send, propagate or transmit use
In by instruction execution system, device either device use or program in connection.Include on computer-readable medium
Program code can transmit with any suitable medium, including but not limited to：Wirelessly, electric wire, optical cable, RF etc., Huo Zheshang
Any appropriate combination stated.
The calculating of the operation for executing the application can be write with one or more programming languages or combinations thereof
Machine program code, described program design language include object oriented program language-such as Java, Smalltalk, C+
+, further include conventional procedural programming language-such as C language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partly executes or executed on a remote computer or server completely on the remote computer on the user computer.
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including LAN (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as carried using Internet service
It is connected by internet for quotient).
Flow chart in attached drawing and block diagram, it is illustrated that according to the system of the various embodiments of the application, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part for a part for one module, program segment, or code of table, the module, program segment, or code includes one or more uses
The executable instruction of the logic function as defined in realization.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are actually
It can be basically executed in parallel, they can also be executed in the opposite order sometimes, this is depended on the functions involved.Also it to note
Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart can be with holding
The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction
Combination realize.
Being described in unit involved in the embodiment of the present application can be realized by way of software, can also be by hard
The mode of part is realized.Described unit can also be arranged in the processor, for example, can be described as：A kind of processor packet
Include acquiring unit, query unit, determination unit and adding device.Wherein, the title of these units not structure under certain conditions
The restriction of the pairs of unit itself, for example, acquiring unit is also described as the " user for obtaining pending authentication
Image unit ".
As on the other hand, present invention also provides a kind of computer-readable medium, which can be
Included in device described in above-described embodiment；Can also be individualism, and without be incorporated the device in.Above-mentioned calculating
Machine readable medium carries one or more program, when said one or multiple programs are executed by the device so that should
Device：Obtain the image of the user of pending authentication；It inquires the face object for including at least one image group and is obtained
The similarity for the face object that the image taken includes is more than the image of predetermined threshold value；Image group where the image inquired is true
It is set to target image group, and determines whether the qualitative data of acquired image matches with preset data area；In response to
It determines that qualitative data is matched with preset data area, acquired image is added in target image group.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.People in the art
Member should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from foregoing invention design, it is carried out by above-mentioned technical characteristic or its equivalent feature
Other technical solutions of arbitrary combination and formation.Such as features described above has similar work(with (but not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (12)
1. a kind of face identification method, including：
Obtain the image of the user of pending authentication；
The similarity for inquiring the face object that the face object for including at least one image group includes with acquired image is super
Cross the image of predetermined threshold value；
Image group where the image inquired is determined as target image group, and determines the qualitative data of acquired image
Whether matched with preset data area；
In response to determining that the qualitative data is matched with preset data area, acquired figure is added in target image group
Picture.
2. according to the method described in claim 1, wherein, target image group includes that image is added with rear in registered images；And
The face object for including at least one image group of inquiry is similar to the face object that acquired image includes
Degree is more than the image of predetermined threshold value, including：
The similarity for inquiring the face object that the face object for including at least one image group includes with acquired image is super
Cross the face object for including in the registered images of the first predetermined threshold value, or at least one image group of inquiry and acquired image packet
The similarity of the face object contained is more than the rear addition image of the second predetermined threshold value.
3. according to the method described in claim 2, wherein, second predetermined threshold value is more than the first predetermined threshold value.
4. the face object for including at least one image group of inquiry according to the method described in claim 1, wherein and institute
The similarity for the face object that the image of acquisition includes is more than the image of predetermined threshold value, including：
Determine the face object and the rear phase that the face object that image includes is added that registered images include at least one image group
Image group like degree more than third predetermined threshold value；
The similarity for the face object that the face object for including in image group determined by inquiry includes with acquired image is super
Cross the rear addition image of the second predetermined threshold value.
5. according to the described method of any one of claim 1-4, wherein the qualitative data of the image acquired in the determination is
It is no to be matched with preset data area, including：
Whether the brightness of the image acquired in determining and clarity are more than the 4th predetermined threshold value.
6. a kind of face identification device, including：
Acquiring unit, the image of the user for obtaining pending authentication；
Query unit, the face pair for including for inquiring the face object for including at least one image group and acquired image
The similarity of elephant is more than the image of predetermined threshold value；
Determination unit for the image group where the image inquired to be determined as target image group, and determines acquired
Whether the qualitative data of image matches with preset data area；
Adding device, in response to determining that the qualitative data is matched with preset data area, in target image group
Acquired image is added.
7. device according to claim 6, wherein target image group includes that image is added with rear in registered images；And
The query unit, is further configured to：
The similarity for inquiring the face object that the face object for including at least one image group includes with acquired image is super
Cross the face object for including in the registered images of the first predetermined threshold value, or at least one image group of inquiry and acquired image packet
The similarity of the face object contained is more than the rear addition image of the second predetermined threshold value.
8. device according to claim 7, wherein second predetermined threshold value is more than the first predetermined threshold value.
9. device according to claim 6, wherein the query unit, including：
Determination subelement, for determining that registered images include at least one image group face object includes with the rear image that is added
Face object similarity be more than third predetermined threshold value image group；
Subelement is inquired, the face for including with acquired image for inquiring the face object for including in identified image group
The similarity of object is more than the rear addition image of the second predetermined threshold value.
10. according to the device described in any one of claim 6-9, wherein the determination unit is further configured to：
Whether the brightness of the image acquired in determining and clarity are more than the 4th predetermined threshold value.
11. a kind of electronic equipment, including：
One or more processors；
Storage device, for storing one or more programs；
When one or more of programs are executed by one or more of processors so that one or more of processors
Realize the method as described in any in claim 1-5.
12. a kind of computer readable storage medium, is stored thereon with computer program, realized such as when which is executed by processor
Any method in claim 1-5.
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