CN109697388A - Face identification method and device - Google Patents
Face identification method and device Download PDFInfo
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- CN109697388A CN109697388A CN201710994568.3A CN201710994568A CN109697388A CN 109697388 A CN109697388 A CN 109697388A CN 201710994568 A CN201710994568 A CN 201710994568A CN 109697388 A CN109697388 A CN 109697388A
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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
- G06V40/172—Classification, e.g. identification
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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
- G06V40/161—Detection; Localisation; Normalisation
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Abstract
The embodiment of the present application discloses face identification method and device.One specific embodiment of this method includes: the facial image for receiving the user of terminal acquisition, and obtains the location information of terminal；According to location information, be combined middle selection human face data set from pre-stored human face data collection, wherein human face data collection be combined in each face data acquisition system data volume it is different；Facial image is matched with the human face data set of selection；The user information of candidate user is sent to terminal so that user confirm user information, wherein candidate user be selection human face data set in user corresponding to the matched human face data of facial image.The embodiment can know efficiency so as to promote face, improve user experience according to the location information of terminal, to choose suitable human face data set, to carry out face search.
Description
Technical field
This application involves field of computer technology, and in particular to technical field of face recognition more particularly to recognition of face side
Method and device.
Background technique
Other biological characteristics (fingerprint, iris etc.) of face and human body are equally inherent, its uniqueness and be not easy by
The superperformance of duplication provides necessary premise for identity identification.
Recognition of face refers in particular to compare face visual signature information computer technology for identification using analysis.People
Face identification be usually image or video flowing containing face are acquired with video camera or camera, and automatic detection in the picture and with
Track face, and then a series of the relevant technologies of face are carried out to the face detected, usually also referred to as Identification of Images, face are known
Not.
Summary of the invention
The embodiment of the present application proposes a kind of face identification method and device.
In a first aspect, the embodiment of the present application provides a kind of face identification method, this method comprises: receiving terminal acquisition
The facial image of user, and obtain the location information of terminal；According to location information, it is combined from pre-stored human face data collection
Choose human face data set, wherein human face data collection be combined in each face data acquisition system data volume it is different；By facial image
It is matched with the human face data set of selection；The user information of candidate user is sent to terminal, so that user confirms user
Information, wherein candidate user be choose human face data set in user corresponding to the matched human face data of facial image.
In some embodiments, location information includes entry position, and human face data collection is combined including the first face data set
It closes and the second human face data set, wherein the first face data acquisition system includes the human face data in the second human face data set；With
And according to location information, middle selection human face data set is combined from pre-stored human face data collection, comprising: from pre-selection storage
Human face data collection is combined the first face data acquisition system of middle selection.
In some embodiments, the human face data in the first face data acquisition system is divided at least two human face datas
Collect, the identity characteristic of user corresponding to the human face data at least two human face data subsets is different, wherein identity characteristic packet
Include gender and/or age；And the first face data acquisition system of middle selection is combined from the human face data collection of pre-selection storage, comprising: root
According to facial image, the identity characteristic of user is determined；The identity characteristic phase with user is chosen from least two human face data subsets
Corresponding human face data subset.
In some embodiments, this method further include: receive being used to indicate for terminal transmission and confirm that user information is correct
Instruction；It will be stored with the matched human face data of facial image to the second human face data set in first face data acquisition system.
In some embodiments, location information includes outlet port；And according to location information, from pre-stored face
Human face data set is chosen in groups of data sets, comprising: be combined the second face number of middle selection from the human face data collection of pre-selection storage
According to set.
In some embodiments, this method further include: receive being used to indicate for terminal transmission and confirm that user information is correct
Instruction；Remove in the second human face data set with the matched human face data of facial image.
In some embodiments, location information further includes clearing position；And according to location information, from pre-stored people
Human face data set is chosen in face groups of data sets, comprising: be combined the second face of middle selection from the human face data collection of pre-selection storage
Data acquisition system.
In some embodiments, after terminal carries out In vivo detection success to user, the face of collected user is sent
Image.
Second aspect, the embodiment of the present application provide a kind of face identification device, which includes: the first receiving unit,
It is configured to receive the facial image of the user of terminal acquisition, and obtains the location information of terminal；Selection unit is configured to root
According to location information, middle selection human face data set is combined from pre-stored human face data collection, wherein during human face data collection is combined
Each face data acquisition system data volume it is different；Matching unit is configured to the human face data set by facial image and selection
It is matched；Transmission unit is configured to the user information of candidate user being sent to terminal, so that user confirms user's letter
Breath, wherein candidate user be selection human face data set in user corresponding to the matched human face data of facial image.
In some embodiments, location information includes entry position, and human face data collection is combined including the first face data set
It closes and the second human face data set, wherein the first face data acquisition system includes the human face data in the second human face data set；With
And selection unit is further configured to: being combined the first face data acquisition system of middle selection from the human face data collection of pre-selection storage.
In some embodiments, the human face data in the first face data acquisition system is divided at least two human face datas
Collect, the identity characteristic of user corresponding to the human face data at least two human face data subsets is different, wherein identity characteristic packet
Include gender and/or age；And selection unit further include: determine subelement, be configured to determine user's according to facial image
Identity characteristic；Subelement is chosen, is configured to choose from least two human face data subsets opposite with the identity characteristic of user
The human face data subset answered.
In some embodiments, device further include: the second receiving unit is configured to receive that terminal sends for referring to
Show that confirmation user information correctly instructs；Storage unit is configured to match in the first face data acquisition system with facial image
Human face data store to the second human face data set.
In some embodiments, location information includes outlet port；And selection unit is further configured to: from pre-selection
The human face data collection of storage is combined the second human face data set of middle selection.
In some embodiments, device further include: third receiving unit is configured to receive that terminal sends for referring to
Show that confirmation user information correctly instructs；Clearing cell is configured to remove in the second human face data set and facial image
The human face data matched.
In some embodiments, location information further includes clearing position；And selection unit is further configured to: from pre-
The human face data collection of choosing storage is combined the second human face data set of middle selection.
In some embodiments, after terminal carries out In vivo detection success to user, the face of collected user is sent
Image.
The third aspect, the embodiment of the present application provide a kind of electronic equipment, comprising: one or more processors；Image is adopted
Acquisition means, for acquiring facial image；Storage device, for storing one or more programs, when one or more programs are by one
A or multiple processors execute, so that one or more processors are realized as described in any embodiment in above-mentioned first aspect
Method.
Fourth aspect, the embodiment of the present application provide a kind of computer readable storage medium, are stored thereon with computer journey
Sequence.The method as described in any embodiment in above-mentioned first aspect is realized when the computer program is executed by processor.
Face identification method and device provided by the embodiments of the present application, the face figure of the user by receiving terminal acquisition
Picture, and the location information of terminal is obtained, and then can be according to the location information of the terminal, from pre-stored human face data set
Human face data set is chosen in group.Wherein, human face data collection be combined in each face data acquisition system data volume it is different.Again by people
Face image is matched with the human face data set of selection, can promote matching efficiency in this way, reduces the waiting time of user.It
The user information of candidate user is sent to terminal afterwards, so that user confirms user information.Wherein, candidate user is the people chosen
In face data acquisition system with user corresponding to the matched human face data of facial image.The user information identified is confirmed by user
It is whether correct, it is led to the problem of so as to which identification mistake is reduced or avoided.
Detailed description of the invention
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 face identification method of the application；
Fig. 3 A and Fig. 3 B are the schematic diagrames according to an application scenarios of the face identification method of the application；
Fig. 4 is the structural schematic diagram according to one embodiment of the face identification device of the application；
Fig. 5 is adapted for the structural schematic diagram for the computer system for realizing the electronic equipment of the embodiment of the present application.
Specific embodiment
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, part relevant to related invention is illustrated only in attached drawing.
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 is shown can be using the face identification method of the application or the exemplary system architecture of face identification device
100。
As shown in Figure 1, system architecture 100 may include terminal 101,102,103, network 104, database server 105
With server 106.Network 104 between terminal 101,102,103,106 three of database server 105 and server to mention
For the medium of communication link.Network 104 may include various connection types, such as wired, wireless communication link or optical fiber electricity
Cable etc..
User can be used terminal 101,102,103 and be carried out by network 104 and database server 105, server 106
Interaction, to receive or send message etc..Various client applications can be installed, such as webpage is clear in terminal 101,102,103
Look at device application, face recognition application, shopping class application and clearing class application etc..
Terminal 101,102,103 can be the various electronics with display screen and image collecting device (such as camera) and set
It is standby, including but not limited to smart phone, tablet computer, E-book reader, pocket computer on knee and desktop computer etc.
Deng.
Database server 105 can be to provide the server of various services, such as be combined and deposit to human face data collection
The database server of storage.
Server 106 is also possible to provide the server of various services, such as to the face that terminal 101,102,103 acquires
The Analysis server that image is analyzed.Analysis server can obtain received facial image from database server 105
The pre-stored human face data collection taken be combined middle progress the matching analysis etc. processing, and can by processing result (such as with people
The user information of the matched user of face image) it is sent to terminal 101,102,103.
It should be noted that face identification method provided by the embodiment of the present application is generally executed by server 106, accordingly
Ground, face identification device are generally positioned in server 106.
It should be pointed out that system architecture 100 can not when server 106 has the function of database server 105
Database server 105 is set.
It should be understood that the number of terminal, network, database server and server in Fig. 1 is only schematical.Root
It factually now needs, can have any number of terminal, network, database server and server.
With continued reference to Fig. 2, the process 200 of one embodiment of the face identification method according to the application is shown.The people
Face recognition method may comprise steps of:
Step 201, the facial image of the user of terminal acquisition is received, and obtains the location information of terminal.
In the present embodiment, the electronic equipment (such as server 106 shown in FIG. 1) of face identification method operation thereon
It can receive terminal (such as terminal shown in FIG. 1 101,102,103) by wired connection mode or radio connection and adopt
The facial image of the user of collection.And the location information of the available terminal.
In the present embodiment, the various image collecting devices for acquiring facial image can be installed (as imaged in terminal
Head) and application.After terminal detects the operational order for being used to indicate acquisition facial image, the image being installed on it can be opened
Acquisition device and application.Herein, operational order can be user and click or touch certain key and trigger, and be also possible to terminal
Detect that user triggers close to the terminal using the methods of infrared technique.
In the present embodiment, electronic equipment can adopt the location information to obtain terminal in various manners.Such as electronics is set
It can store the file of the identification information of terminal on the books and the corresponding relationship of location information in standby.Electronic equipment is receiving terminal
While the facial image of transmission, the identification information of the available terminal.Then it can inquire hereof and the mark
The corresponding location information of information.Here identification information can be the interface index that terminal is connect with communication between electronic,
It is also possible to title, the number etc. of terminal.
It is understood that above-mentioned file also can store in database server (such as database service shown in FIG. 1
Device 105) in.The location information of terminal is inquired in the file that electronic equipment can be stored from the database server.
In some optionally implementations of the present embodiment, in order to improve the safety of this method, terminal is used in acquisition
When the facial image at family, the characteristics of image that can extract face carries out In vivo detection.Wherein, In vivo detection typically refer to user by
Lighting system instruction make corresponding movement, prevent user under some important environment with photo out-trick system complete verifying.With
After corresponding actions are completed according to system prompt in family, the movement completed from the background to user is identified, and prompts user's In vivo detection
Whether pass through.After terminal carries out In vivo detection success to user, then send to electronic equipment the face figure of collected user
Picture.
Step 202, according to location information, middle selection human face data set is combined from pre-stored human face data collection.
In the present embodiment, the location information for the terminal that electronic equipment can be obtained according to step 201, from pre-stored
Human face data collection is combined middle selection human face data set.Wherein, human face data collection be combined in each face data acquisition system data
Amount is different.That is, human face data collection be combined at least partly human face data set in the data volume of human face data can
With difference, i.e., human face data collection be combined at least partly human face data set in the quantity of the corresponding user of human face data can
With difference.Herein, human face data collection, which is combined, can store in electronic equipment local, also can store in database server
In.
In some optionally implementations of the present embodiment, it may include the first face data set that human face data collection, which is combined,
It closes and the second human face data set.Wherein, the first face data acquisition system may include the face number in the second human face data set
According to.The location information of terminal may include entry position.At this point, according to location information, from pre-stored human face data set
Human face data set is chosen in group, may include: to be combined the first face data set of middle selection from the human face data collection of pre-selection storage
It closes.
For example, terminal may be mounted at the entry position in unmanned shop.When user wants to enter into unmanned shop, the end
End can acquire the facial image of the user, to be sent to electronic equipment.At this point, electronic equipment can be from pre-stored face
The first face data acquisition system is chosen in groups of data sets.It here may include all registered use in the first face data acquisition system
The human face data at family.And it in the second human face data set may include the human face data of part registered users.User is registering
When, an at least facial image can be uploaded to electronic equipment or database server by terminal.The facial image of upload can
To be the image of multiple angles, such as face image, side face image.
Further, in order to improve the efficiency of recognition of face, the waiting time of user is reduced, in the first face data acquisition system
Human face data can be divided at least two human face data subsets.Human face data institute at least two human face data subsets is right
The identity characteristic of the user answered is different.Wherein, identity characteristic may include gender and/or age.At this point, above-mentioned store from pre-selection
Human face data collection be combined the first face data acquisition system of middle selection, may include: to determine that the identity of user is special according to facial image
Sign；Human face data subset corresponding with the identity characteristic of the user is chosen from least two human face data subsets.
For example, the human face data in the first face data acquisition system can be divided into male people according to the gender of registered users
Face data subset and women human face data subset.Electronic equipment receives the people of the terminal acquisition positioned at unmanned store entrance position
After face image, the characteristics of image (such as hair, lip color, whether there is or not ear nail ornaments) of facial image can be extracted, so that it is determined that people
The gender of user corresponding to face image.If it is determined that the user is women, then female can be chosen from the first face data acquisition system
Property human face data subset.The data volume of the human face data compared needed for can reducing in this way, so that the efficiency of recognition of face is promoted,
Improve user experience.
Optionally, the location information of terminal also may include outlet port.At this point, according to location information, from being stored in advance
Human face data collection be combined middle selection human face data set, may include: from pre-selection storage human face data collection be combined middle selection
Second human face data set.
For example, terminal may be mounted at the outlet port in unmanned shop, and when user wants to leave unmanned shop, the terminal
The facial image of the user can be acquired, to be sent to electronic equipment.At this point, electronic equipment can be from pre-stored face number
The second human face data set of middle selection is combined according to collection.Here it may include registered in the second human face data set and entered
The human face data of the user in the unmanned shop.It in this way can be to avoid human face data (i.e. the first face with all registered users
Data acquisition system) it is compared, to promote recognition of face efficiency.
As an example, the location information of terminal can also include clearing position.At this point, being deposited according to location information from advance
The human face data collection of storage is combined middle selection human face data set, may include: to be combined middle choosing from the human face data collection of pre-selection storage
Take the second human face data set.
For example, terminal may be mounted at the clearing position in unmanned shop, when user wants the commodity in the unmanned shop of purchase
When, which can acquire the facial image of the user, to be sent to electronic equipment.At this point, electronic equipment can be deposited from advance
The human face data collection of storage is combined the second human face data set of middle selection.It here may include having infused in the second human face data set
Volume and entered the unmanned shop user human face data.It in this way can be to avoid the human face data with all registered users
(i.e. the first face data acquisition system) is compared, to promote recognition of face efficiency.
It should be noted that certain fixed area in unmanned shop, such as cashier can be set in clearing position herein.This
Sample, for the user at cashier after recognition of face, user can carry out the settlement of transactions of commodity.In addition, clearing position
It can be the arbitrary region in unmanned shop, such as each commodity position.In this way, when user takes certain commodity away from shelf, warp
After crossing recognition of face, the settlement of transactions of the commodity can be carried out.That is, user can carry out the friendship of commodity whenever and wherever possible
Easily clearing improve user experience to increase the convenience of clearing.
Optionally, in order to further promote the efficiency of recognition of face, the human face data in the second human face data set is same
Sample can be divided at least two human face data subsets.User corresponding to human face data at least two human face data subsets
Identity characteristic it is different.Wherein, identity characteristic equally may include gender and/or age.At this point, from the face number of pre-selection storage
It is combined the second human face data set of middle selection according to collection, may include: that the identity characteristic of user is determined according to facial image；From to
Human face data subset corresponding with the identity characteristic of user is chosen in few two face data subsets.Detailed process may refer to
Above-mentioned associated description, details are not described herein again.
Step 203, facial image is matched with the human face data set of selection.
In the present embodiment, electronic equipment and can choose facial image received in step 201 in step 202
Human face data set is matched.Here matching process can be various face identification methods commonly used in the prior art.
As an example, electronic equipment can extract the characteristics of image of facial image, the human face data of the user is generated, in turn
It is compared one by one with the human face data in the human face data set of selection.If similarity (or alignment score) is not less than present count
Value, then illustrate that the human face data and facial image in human face data set match.It is on the contrary then illustrate in human face data set
Human face data and facial image mismatch.Wherein, the facial image that the human face data in human face data set is acquired with terminal is got over
Close, then similarity or alignment score are bigger.And default value can be arranged according to actual needs.
Step 204, the user information of candidate user is sent to terminal, so that user confirms user information.
In the present embodiment, according to the matching result of step 203, electronic equipment can be sent out the user information of candidate user
It send to terminal, so that user confirms whether the user information is correct.Wherein, candidate user can be the human face data set of selection
In with user corresponding to the matched human face data of facial image.User information is information for indicating user identity, can be with
It is including but not limited at least one of following: name, gender, age, name on account, phone number, identification card number etc..In this way,
The user information identified is confirmed by user, the safety of recognition of face can be increased, it is wrong that identification is reduced or avoided
Accidentally lead to the problem of.
It is understood that when there are multiple matched face numbers of facial image with terminal acquisition in human face data set
According to when, can be using user corresponding to similarity or the maximum human face data of alignment score as candidate user.
In some optionally implementations of the present embodiment, when the terminal for sending facial image is located at entry position,
If the confirmation user information that is used to indicate that electronic equipment receives terminal transmission correctly instructs, can be by the first human face data
It is stored with the matched human face data of facial image to the second human face data set in set.At this point, electronic equipment can also be sent
Control instruction, so that corresponding equipment executes movement indicated by control instruction.Such as electronic equipment can be to unmanned shop
Driving equipment sends control instruction, to make the switch of driving equipment driving gate, so that user be made to enter unmanned shop.
It should be noted that since user in inlet has confirmed the user information identified, so
Human face data in two human face data set is all that user is confirmed as correct human face data.That is, the second human face data
User corresponding to the human face data of set is the user entered from inlet.In this way, being carried out in outlet port or clearing position
When recognition of face, i.e., by facial image and the second human face data sets match when, can not only promote recognition efficiency, but also can be significantly
Improve identification accuracy rate, it might even be possible to reach without identification mistake situation, so as to be reduced or avoided identification mistake to
Hidden danger caused by the property safety at family.
Optionally, when the terminal for sending facial image is located at outlet port, if electronic equipment receives terminal transmission
Be used to indicate confirmation user information correctly instruct, then can remove in the second human face data set with the matched people of facial image
Face data.That is, the user prepares to leave from exit, so matched with facial image in the second human face data set
Human face data is invalid.By removing these invalid human face datas in time, recognition efficiency can be further promoted.
In addition, electronic equipment can equally send control instruction, so that corresponding equipment executes indicated by control instruction
Movement.Such as electronic equipment can send control instruction to the driving equipment in unmanned shop, to make driving equipment driving gate
Switch, so that user be made to leave unmanned shop.
It is understood that if the human face data in facial image and the human face data set of selection mismatches or user
When confirming that the user information of candidate user is incorrect, electronic equipment can send prompt information to terminal, to prompt user again
Brush face, so that terminal resurveys the facial image of user.
Face identification method provided in this embodiment, the facial image of the user by receiving terminal acquisition, and obtain end
The location information at end, and then can be combined middle choose according to the location information of the terminal from pre-stored human face data collection and fit
Suitable human face data set.Wherein, human face data collection be combined in each face data acquisition system data volume it is different.Again by face figure
As being matched with the human face data set of selection, matching efficiency can be promoted in this way, reduces the waiting time of user.Later will
The user information of candidate user is sent to terminal, so that user confirms user information.Wherein, candidate user is the face number chosen
According in set with user corresponding to the matched human face data of facial image.Whether the user information identified is confirmed by user
Correctly, it is led to the problem of so as to which identification mistake is reduced or avoided.
With further reference to the application scenarios that Fig. 3 A and Fig. 3 B, Fig. 3 A and Fig. 3 B are according to the face identification method of the present embodiment
A schematic diagram.
In the application scenarios of Fig. 3 A, user 31 can pass through the terminal positioned at inlet before entering unmanned shop
32 carry out the acquisition of facial image.The facial image of user 31 can be sent to server by terminal 32 later.Server can basis
The location information of terminal 32 is combined the human face data that middle selection includes all registered users from pre-stored human face data collection
The first face data acquisition system.By the way that facial image is matched with the human face data in the first face data acquisition system, general
The user information of the corresponding user of the human face data matched is sent to terminal 32.Terminal 32 shows the user information, so that
User 31 confirms it.After user 31 confirms that the user information is correct, server can be stored the human face data to the
Two human face data set.At this point, the door 33 in unmanned shop can be opened, user 31 can enter unmanned shop.
In the application scenarios of Fig. 3 B, user 31 can pass through the terminal positioned at exit before leaving unmanned shop
32 carry out the acquisition of facial image.The facial image of user 31 can be sent to server by terminal 32 later.Server can basis
The location information of terminal 32 is combined middle choose comprising all users in unmanned shop from pre-stored human face data collection
Human face data the second human face data set.By the way that the human face data in facial image and the second human face data set is carried out
Matching, is sent to terminal 32 for the user information of the corresponding user of matched human face data.Terminal 32 carries out the user information
It has been shown that, so that user 31 confirms it.After user 31 confirms that the user information is correct, server can be by the human face data
It is removed from the second human face data set.At this point, the door 33 in unmanned shop can be opened, user 31 may exit off unmanned shop.
With continued reference to Fig. 4, as the realization to method shown in above-mentioned each figure, this application provides a kind of face identification devices
One embodiment.The Installation practice is corresponding with embodiment of the method shown in Fig. 2, which specifically can be applied to various
In electronic equipment.
As shown in figure 4, the face identification device 400 of the present embodiment may include: the first receiving unit 401, it is configured to
The facial image of the user of terminal acquisition is received, and obtains the location information of terminal；Selection unit 402, is configured to according to position
Confidence breath, be combined middle selection human face data set from pre-stored human face data collection, wherein human face data collection be combined in it is each
The data volume of human face data set is different；Matching unit 403, be configured to by facial image and the human face data set of selection into
Row matching；Transmission unit 404 is configured to the user information of candidate user being sent to terminal, so that user confirms user's letter
Breath, wherein candidate user be selection human face data set in user corresponding to the matched human face data of facial image.
In the present embodiment, the tool of the first receiving unit 401, selection unit 402, matching unit 403 and transmission unit 404
Body implementation and the beneficial effect of generation can distinguish step 201, step 202, step in embodiment shown in Figure 2
203 and step 204 associated description, details are not described herein again.
In some optional implementations of the present embodiment, above-mentioned location information may include entry position, face number
Be combined according to collection may include the first face data acquisition system and the second human face data set, wherein the first face data acquisition system includes
Human face data in second human face data set；And selection unit 402 can be further configured to: from the people of pre-selection storage
The first face data acquisition system is chosen in face groups of data sets.
Optionally, the human face data in the first face data acquisition system can be divided at least two human face data subsets, until
The identity characteristic of user corresponding to human face data in few two face data subsets is different, wherein identity characteristic is inclusive
The other and/or age；And selection unit 402 can also comprise determining that subelement (not shown), be configured to according to face
Image determines the identity characteristic of user；Subelement (not shown) is chosen, is configured to from least two human face data subsets
It is middle to choose human face data subset corresponding with the identity characteristic of user.
Further, which can also include: the second receiving unit (not shown), be configured to receive eventually
The confirmation user information that is used to indicate of end transmission correctly instructs；Storage unit (not shown), being configured to will be the first
It is stored with the matched human face data of facial image to the second human face data set in face data acquisition system.
As an example, location information also may include outlet port；And selection unit 402 can further configure use
In: the second human face data set of middle selection is combined from the human face data collection of pre-selection storage.
Further, which can also include: third receiving unit (not shown), be configured to receive eventually
The confirmation user information that is used to indicate of end transmission correctly instructs；Clearing cell (not shown) is configured to removing second
In human face data set with the matched human face data of facial image.
In application scenes, location information can also include clearing position；And selection unit 402 can be further
It is configured to: being combined the second human face data set of middle selection from the human face data collection of pre-selection storage.
In some embodiments, after terminal carries out In vivo detection success to user, the face of collected user is sent
Image.
Below with reference to Fig. 5, it illustrates the computer systems 500 for the electronic equipment for being suitable for being used to realize the embodiment of the present application
Structural schematic diagram.Electronic equipment shown in Fig. 5 is only an example, function to the embodiment of the present application and should not use model
Shroud carrys out any restrictions.
As shown in figure 5, computer system 500 includes central processing unit (CPU) 501, it can be read-only according to being stored in
Program in memory (ROM) 502 or be loaded into the program in random access storage device (RAM) 503 from storage section 508 and
Execute various movements appropriate and processing.In RAM 503, also it is stored with system 500 and operates required various programs and data.
CPU 501, ROM 502 and RAM 503 are connected with each other by bus 504.Input/output (I/O) interface 505 is also connected to always
Line 504.
I/O interface 505 is connected to lower component: the importation 506 including touch screen, keyboard, image collecting device etc.；
Output par, c 507 including cathode-ray tube (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Including hard disk etc.
Storage section 508；And the communications portion 509 of the network interface card including LAN card, modem etc..Communication unit
509 are divided to execute communication process via the network of such as internet.Driver 510 is also connected to I/O interface 505 as needed.It can
Medium 511 is dismantled, such as disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 510,
In order to be mounted into storage section 508 as needed from the computer program read thereon.
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 from network by communications portion 509, and/or from detachable media
511 are mounted.When the computer program is executed by central processing unit (CPU) 501, limited in execution the present processes
Above-mentioned function.It should be noted that the computer-readable medium of the application can be computer-readable signal media or calculating
Machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but it is unlimited
In system, device or the device of --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, or any above combination.It calculates
The more specific example of machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, portable of one or more conducting wires
Formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable programmable read only memory
(EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device or
The above-mentioned any appropriate combination of person.In this application, computer readable storage medium can be it is any include or storage program
Tangible medium, which can be commanded execution system, device or device use or in connection.And in this Shen
Please in, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
In carry computer-readable program code.The data-signal of this propagation can take various forms, including but not limited to
Electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer-readable
Any computer-readable medium other than storage medium, the computer-readable medium can send, propagate or transmit for by
Instruction execution system, device or device use or program in connection.The journey for including on computer-readable medium
Sequence code can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. are above-mentioned
Any appropriate combination.
Flow chart and block diagram in attached drawing are illustrated 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 of one module, program segment or code of table, a part of the module, program segment or code include one or more use
The executable instruction of the logic function as defined in realizing.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, and this depends on the function involved.Also it to infuse
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 also can be set in the processor, for example, can be described as: a kind of processor packet
Include the first receiving unit, selection unit, matching unit and transmission unit.Wherein, the title of these units is under certain conditions simultaneously
The restriction to the unit itself is not constituted, for example, the first receiving unit is also described as " receiving the user's of terminal acquisition
Facial image, and obtain the unit of the location information of terminal ".
As on the other hand, present invention also provides a kind of computer-readable medium, which be can be
Included in electronic equipment described in above-described embodiment；It is also possible to individualism, and without in the supplying electronic equipment.
Above-mentioned computer-readable medium carries one or more program, when said one or multiple programs are held by the electronic equipment
When row, so that the electronic equipment: receiving the facial image of the user of terminal acquisition, and obtain the location information of terminal；According to position
Confidence breath, be combined middle selection human face data set from pre-stored human face data collection, wherein human face data collection be combined in it is each
The data volume of human face data set is different；Facial image is matched with the human face data set of selection；By candidate user
User information is sent to terminal so that user confirm user information, wherein candidate user be choose human face data set in and
User corresponding to the matched human face data of facial image.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art
Member is it 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
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (14)
1. a kind of face identification method, which is characterized in that the described method includes:
The facial image of the user of terminal acquisition is received, and obtains the location information of the terminal；
According to the positional information, middle selection human face data set is combined from pre-stored human face data collection, wherein the people
The data volume of each face data acquisition system in face groups of data sets is different；
The facial image is matched with the human face data set of selection；
The user information of candidate user is sent to the terminal, so that the user confirms the user information, wherein described
Candidate user be choose human face data set in user corresponding to the matched human face data of the facial image.
2. the method according to claim 1, wherein the location information includes entry position, the face number
It is combined according to collection including the first face data acquisition system and the second human face data set, wherein the first face data acquisition system includes
Human face data in the second human face data set；And
It is described according to the positional information, be combined middle selection human face data set from pre-stored human face data collection, comprising:
Middle selection the first face data acquisition system is combined from the human face data collection of pre-selection storage.
3. according to the method described in claim 2, it is characterized in that, the human face data in the first face data acquisition system divides
For at least two human face data subsets, the identity of user corresponding to the human face data in at least two human face datas subset
Feature is different, wherein the identity characteristic includes gender and/or age；And
The human face data collection from pre-selection storage is combined middle selection the first face data acquisition system, comprising:
According to the facial image, the identity characteristic of the user is determined；
Human face data subset corresponding with the identity characteristic of the user is chosen from at least two human face datas subset.
4. according to the method in claim 2 or 3, which is characterized in that the method also includes:
The confirmation user information that is used to indicate that the terminal is sent is received correctly to instruct；
It will be stored with the matched human face data of the facial image to the second face number in the first face data acquisition system
According to set.
5. according to the method described in claim 4, it is characterized in that, the location information includes outlet port；And
It is described according to the positional information, be combined middle selection human face data set from pre-stored human face data collection, comprising:
Middle selection the second human face data set is combined from the human face data collection of pre-selection storage.
6. according to the method described in claim 5, it is characterized in that, the method also includes:
The confirmation user information that is used to indicate that the terminal is sent is received correctly to instruct；
Remove in the second human face data set with the matched human face data of the facial image.
7. according to the method described in claim 4, it is characterized in that, the location information further includes clearing position；And
It is described according to the positional information, be combined middle selection human face data set from pre-stored human face data collection, comprising:
Middle selection the second human face data set is combined from the human face data collection of pre-selection storage.
8. the method according to claim 1, wherein when the terminal to user carry out In vivo detection success after,
Send the facial image of the collected user.
9. a kind of face identification device, which is characterized in that described device includes:
First receiving unit is configured to receive the facial image of the user of terminal acquisition, and obtains the position letter of the terminal
Breath；
Selection unit, is configured to according to the positional information, is combined middle selection face number from pre-stored human face data collection
According to set, wherein the human face data collection be combined in each face data acquisition system data volume it is different；
Matching unit is configured to match the facial image with the human face data set of selection；
Transmission unit is configured to the user information of candidate user being sent to the terminal, so that described in user confirmation
User information, wherein the candidate user be choose human face data set in the matched human face data of the facial image
Corresponding user.
10. device according to claim 9, which is characterized in that the location information includes entry position, the face number
It is combined according to collection including the first face data acquisition system and the second human face data set, wherein the first face data acquisition system includes
Human face data in the second human face data set；And
The selection unit is further configured to: being combined middle selection the first face number from the human face data collection of pre-selection storage
According to set.
11. device according to claim 10, which is characterized in that described device further include:
Second receiving unit, the confirmation user information that is used to indicate for being configured to receive the terminal transmission correctly refer to
It enables；
Storage unit is configured to store in the first face data acquisition system with the matched human face data of the facial image
To the second human face data set.
12. device according to claim 11, which is characterized in that the location information includes outlet port；And
The selection unit is further configured to: being combined middle selection the second face number from the human face data collection of pre-selection storage
According to set.
13. a kind of electronic equipment, which is characterized in that the electronic equipment includes:
One or more processors；
Image collecting device, for acquiring facial image；
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 are real
Now such as method described in any one of claims 1-8.
14. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
Such as method described in any one of claims 1-8 is realized when being executed by processor.
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| CN201710994568.3A CN109697388A (en) | 2017-10-23 | 2017-10-23 | Face identification method and device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710994568.3A CN109697388A (en) | 2017-10-23 | 2017-10-23 | Face identification method and device |
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| CN109697388A true CN109697388A (en) | 2019-04-30 |
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| CN201710994568.3A Pending CN109697388A (en) | 2017-10-23 | 2017-10-23 | Face identification method and device |
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| CN110659580A (en) * | 2019-08-29 | 2020-01-07 | 深圳市新系区块链技术有限公司 | Method and device for quickly authenticating identity information |
| CN110688974A (en) * | 2019-09-30 | 2020-01-14 | 支付宝(杭州)信息技术有限公司 | Identity recognition method and device |
| CN110852193A (en) * | 2019-10-23 | 2020-02-28 | 中国建设银行股份有限公司 | Face recognition method and device |
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