CN108629280A - Face identification method and mobile terminal - Google Patents
Face identification method and mobile terminal Download PDFInfo
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- CN108629280A CN108629280A CN201810258608.2A CN201810258608A CN108629280A CN 108629280 A CN108629280 A CN 108629280A CN 201810258608 A CN201810258608 A CN 201810258608A CN 108629280 A CN108629280 A CN 108629280A
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- characteristic point
- mobile terminal
- recognition
- human 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
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/96—Management of image or video recognition tasks
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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
Abstract
An embodiment of the present invention provides a kind of face identification method and mobile terminal, wherein method is applied to mobile terminal, including：In the recognition of face request for receiving user, scene information is obtained；According to the scene information, determine that corresponding human face characteristic point collecting quantity is asked in the recognition of face；Recognition of face is carried out with the human face characteristic point collecting quantity.Through the embodiment of the present invention, recognition of face speed can be flexibly controlled, recognition of face efficiency is improved.
Description
Technical field
The present invention relates to field of mobile terminals more particularly to a kind of face identification methods and mobile terminal.
Background technology
To protect the individual privacy safe to use and user of mobile terminal, mobile terminal that can pass through face identification functions
Recognition of face is carried out to user, the recognition of face mode of mobile terminal can be fingerprint authentication, iris verification, recognition of face etc..
In existing face identification method, it is normally set up matching threshold, the face characteristic when acquisition and pre-stored people
When the matching result of face feature reaches the matching threshold, determine that recognition of face passes through.However, existing face identification method is main
It is concerned with how to improve face recognition accuracy, does not account for influence of the recognition of face speed to recognition of face efficiency.
Invention content
The purpose of the embodiment of the present invention is to provide a kind of face identification method and mobile terminal, flexibly to control recognition of face
Speed improves recognition of face efficiency.
In order to achieve the above objectives, the embodiment of the present invention is realized in：
In a first aspect, an embodiment of the present invention provides a kind of face identification method, it is applied to mobile terminal, including：
In the recognition of face request for receiving user, scene information is obtained；
According to the scene information, determine that corresponding human face characteristic point collecting quantity is asked in the recognition of face；
Recognition of face is carried out with the human face characteristic point collecting quantity.
Second aspect, an embodiment of the present invention provides a kind of mobile terminals, including：
Acquiring unit, in the recognition of face request for receiving user, obtaining scene information；
First determination unit, for according to the scene information, determining that corresponding face characteristic is asked in the recognition of face
Point collecting quantity；
Face identification unit, for carrying out recognition of face with the human face characteristic point collecting quantity.
The third aspect, an embodiment of the present invention provides a kind of mobile terminals, including：Memory, processor and it is stored in institute
The computer program that can be run on memory and on the processor is stated, when the computer program is executed by the processor
The step of realizing the face identification method as described in above-mentioned first aspect.
Fourth aspect, an embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
It is stored with computer program on medium, the people as described in above-mentioned first aspect is realized when the computer program is executed by processor
The step of face recognition method.
In the embodiment of the present invention, in the recognition of face request for receiving user, scene information is obtained, according to scene information,
It determines that corresponding human face characteristic point collecting quantity is asked in recognition of face, recognition of face is carried out with the human face characteristic point collecting quantity.
Since human face characteristic point collecting quantity is the parameter for influencing recognition of face speed, through the embodiment of the present invention, according to scene
Information determines human face characteristic point collecting quantity when recognition of face, can reach and flexibly control recognition of face speed under different scenes
The effect of degree, to improve recognition of face efficiency.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments described in invention, for those of ordinary skill in the art, in the premise of not making the creative labor property
Under, other drawings may also be obtained based on these drawings.
Fig. 1 is the flow diagram for the face identification method that one embodiment of the invention provides；
Fig. 2 is the flow diagram for the face identification method that another embodiment of the present invention provides；
Fig. 3 is the module composition schematic diagram for the mobile terminal that one embodiment of the invention provides；
A kind of hardware architecture diagram of Fig. 4 mobile terminals of each embodiment to realize the present invention.
Specific implementation mode
In order to make those skilled in the art more fully understand the technical solution in the present invention, below in conjunction with of the invention real
The attached drawing in example is applied, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
The every other embodiment that technical staff is obtained without creative efforts, should all belong to protection of the present invention
Range.
An embodiment of the present invention provides a kind of face identification method, a kind of mobile terminal and a kind of computer-readable storage mediums
Matter improves recognition of face efficiency flexibly to control recognition of face speed.The face identification method is applied to mobile terminal side, energy
Enough mobile terminals that by mobile terminal execution, the embodiment of the present invention refers to include but not limited to mobile phone, tablet computer, computer, can
Wearable device etc. has the intelligent terminal of face identification functions.
Fig. 1 is the flow diagram for the face identification method that one embodiment of the invention provides, as shown in Figure 1, this method packet
Include following steps：
Step 102, in the recognition of face request for receiving user, scene information is obtained；
Step 104, according to the scene information, determine that corresponding human face characteristic point collecting quantity is asked in recognition of face；
Step 106, recognition of face is carried out with the human face characteristic point collecting quantity.
In the embodiment of the present invention, in the recognition of face request for receiving user, scene information is obtained, according to scene information,
It determines that corresponding human face characteristic point collecting quantity is asked in recognition of face, recognition of face is carried out with the human face characteristic point collecting quantity.
Since human face characteristic point collecting quantity is the parameter for influencing recognition of face speed, through the embodiment of the present invention, according to scene
Information determines human face characteristic point collecting quantity when recognition of face, can reach and flexibly control recognition of face speed under different scenes
The effect of degree, to improve recognition of face efficiency.
Face recognition process involved in the present embodiment is：The facial image for acquiring user, from the facial image of acquisition
Face characteristic is extracted, when the matching degree of the face characteristic of extraction and pre-stored face characteristic reaches certain threshold value, is determined
Recognition of face passes through, otherwise, it determines recognition of face does not pass through.
In above-mentioned steps 102, the recognition of face request of user is received, Ke Yiwei, mobile terminal is in the branch for receiving user
When paying operation, determines the recognition of face request for getting user, and show recognition of face interface, can also be, at mobile terminal
When screen lock state, if detecting the face-image of user, it is determined that get user recognition of face request, and to user into
Row recognition of face is to unlock mobile terminal.
In the present embodiment, scene information includes scene type information and running of mobile terminal information；In above-mentioned steps 104,
According to scene information, determine that corresponding human face characteristic point collecting quantity is asked in recognition of face, specially：
(1) scene type of recognition of face is determined according to scene type information；Wherein, scene type includes payment class and non-
Pay class；
(2) according to scene type, the corresponding reference grade of recognition of face request is chosen in preset multiple grades；Its
In, the corresponding human face characteristic point collecting quantity of each grade is different；
(3) according to running of mobile terminal information and reference grade, determine that recognition of face request is corresponding in multiple grades
Goal gradient；Wherein, it is special to be more than or less than the corresponding face of reference grade for the corresponding human face characteristic point collecting quantity of goal gradient
Sign point collecting quantity；
(4) by the corresponding human face characteristic point collecting quantity of goal gradient, corresponding face characteristic is asked as recognition of face
Point collecting quantity.
In above-mentioned action (1), mobile terminal determines the scene type of recognition of face, scene type according to scene type information
Including payment class and non-pay class.Mobile terminal can detect the classification that request carries out the application program of recognition of face, if this is answered
It is payment class application program with program, it is determined that scene type is payment class, if the application program is non-pay class application program,
Then determine that scene type is non-pay class.
Multiple grades are preset in mobile terminal, each grade corresponds to different human face characteristic point collecting quantities, such as in advance
If the first, second, third, fourth grade, the corresponding human face characteristic point collecting quantity of first to fourth grade gradually increases.It is above-mentioned
It acts in (2), mobile terminal chooses corresponding benchmark of recognition of face request etc. according to scene type in preset multiple grades
Grade.Specifically, payment class scene corresponds to a reference grade, and non-pay class scene corresponds to a reference grade, eventually to movement
End the corresponding reference grade of recognition of face request is chosen in preset multiple grades according to scene type.Wherein, payment class field
The corresponding reference grade of scape and the corresponding reference grade of non-pay class scene can by mobile terminal default setting, can also by with
Family is arranged in advance.It should be noted that the corresponding human face characteristic point collecting quantity of each grade can be in above-mentioned multiple grades
Ensure the order of accuarcy of recognition of face.
After determining reference grade, mobile terminal determines target etc. also according to running of mobile terminal information and reference grade
Grade, goal gradient are not same grade with reference grade.In the case of one kind, scene type is payment class, then mobile terminal can be with
Goal gradient is determined by any one following mode：
(41) running of mobile terminal information includes the network information of mobile terminal connection, according to the network information and default network
The comparison result of information is chosen corresponding human face characteristic point collecting quantity in multiple grades and is corresponded to more than or less than reference grade
Human face characteristic point collecting quantity grade as goal gradient；
(42) running of mobile terminal information includes the subscriber authentication record of mobile terminal within a preset period of time, according to
Subscriber authentication records, and corresponding human face characteristic point collecting quantity is chosen in multiple grades and is more than or less than reference grade pair
The grade for the human face characteristic point collecting quantity answered is as goal gradient；
(43) running of mobile terminal information includes the account information that corresponding beneficiary is asked in recognition of face, according to beneficiary
Account information, chosen in multiple grades corresponding human face characteristic point collecting quantity be more than or less than the corresponding people of reference grade
The grade of face characteristic point collecting quantity is as goal gradient；
(44) running of mobile terminal information includes the contact details that corresponding recipient is asked in recognition of face, according to recipient
Contact details and mobile terminal owner contact details comparison result, corresponding face characteristic is chosen in multiple grades
Point collecting quantity is more than or less than the grade of the corresponding human face characteristic point collecting quantity of reference grade as goal gradient.
In above-mentioned action (41), the network information of mobile terminal connection includes WIFI (WirelessFidelity, wireless guarantor
At least one of very) in information and base station information, WIFI information is identified including at least WIFI, and base station information is marked including at least base station
Know.For example, if mobile terminal connection is WIFI network, the network information of mobile terminal connection includes the mark of WIFI,
If mobile terminal uses the surfing flow that operator provides, the network information of mobile terminal connection includes the mark of base station
Know.WIFI white lists and base station white list are previously stored in mobile terminal, there is relative to mobile whole record in WIFI white lists
The WIFI marks of end safety, the interior record of base station white list have the Base Station Identification relative to mobile terminal safety, mobile terminal will
The mark of WIFI is compared with the WIFI marks in WIFI white lists, alternatively, by the mark of base station and base station white list
Base Station Identification is compared, if determining that the mark of the WIFI of mobile terminal connection is present in WIFI white lists according to comparison result
It is interior, alternatively, determining that the mark of the base station of mobile terminal connection is present in the white list of base station, then it is assumed that the net of mobile terminal connection
Network is safer, and it is corresponding less than reference grade that mobile terminal chooses corresponding human face characteristic point collecting quantity in multiple grades
The grade of human face characteristic point collecting quantity is as goal gradient, to improve the speed of recognition of face.It is on the contrary, however, it is determined that mobile terminal
The mark of the WIFI of connection is not present in WIFI white lists, alternatively, determining that the mark of the base station of mobile terminal connection is not present
In in the white list of base station, then it is assumed that the network of mobile terminal connection is more dangerous, and mobile terminal chooses correspondence in multiple grades
Human face characteristic point collecting quantity be more than the grade of the corresponding human face characteristic point collecting quantity of reference grade as goal gradient, with
Ensure the safety of recognition of face.
In the present embodiment, following manner may be used and establish WIFI white lists.Determine that the rate of connections of mobile terminal is more than
The mark (such as title or ID) of the WIFI network is recorded, it is white to obtain WIFI by the WIFI network for having password of certain frequency
List, wherein the rate of connections of mobile terminal is more than the WIFI network of certain frequency, usually the family WIFI or public affairs of user
WIFI is taken charge of, record has the WIFI network of password in WIFI white lists, can prevent the insecurity of the WIFI network of no password
To the potential threat of recognition of face.When determining that the mark of the WIFI of mobile terminal connection is not present in WIFI white lists, say
The connection of bright mobile terminal may be the WIFI network of public place seldom connected or the WIFI network without password, at this time
Think that the WIFI network of mobile terminal connection is more dangerous, it is big that corresponding human face characteristic point collecting quantity is chosen in multiple grades
In the corresponding human face characteristic point collecting quantity of reference grade grade as goal gradient, to ensure the safety of recognition of face.
In the present embodiment, following manner may be used and establish base station white list.Determine that the resident duration of mobile terminal is more than
The mark (such as title or ID) of the base station is recorded, obtains base station white list by the base station of certain time length, wherein mobile whole
End can identify that the mark of resident base station, the resident duration of mobile terminal are more than the base station of certain time length, usually user family
The base station near base station or company near front yard.When determining that the mark of base station of mobile terminal connection is not present in the white name in base station
When in list, illustrate that the base station of mobile terminal connection may be the base station for the geographic area seldom gone, at this point, being selected in multiple grades
Corresponding human face characteristic point collecting quantity is taken to be more than the grade of the corresponding human face characteristic point collecting quantity of reference grade as target
Grade, to ensure the safety of recognition of face.
In above-mentioned action (42), running of mobile terminal information includes that the user identity of mobile terminal within a preset period of time is tested
Card record obtains user body of the mobile terminal within a preset period of time (such as within this period before current time 30 seconds)
Part verification record, records according to subscriber authentication, corresponding human face characteristic point collecting quantity is chosen in multiple grades and is more than
Or the grade of human face characteristic point collecting quantity corresponding less than reference grade is as goal gradient.For example, if mobile terminal is pre-
If in the period, there are fingerprint authentication success, pupil is proved to be successful or recognition of face successfully records, then it is assumed that mobile terminal
Current environment it is safer, choose corresponding human face characteristic point collecting quantity and adopted less than the corresponding human face characteristic point of reference grade
Collect the grade of quantity as goal gradient, to improve recognition of face speed, if conversely, mobile terminal within a preset period of time, is deposited
In the record of fingerprint authentication failure, pupil authentication failed or recognition of face failure, if alternatively, mobile terminal is in preset time period
Interior, the number of recognition of face failure is more than certain number, then it is assumed that the current environment of mobile terminal is more dangerous, there is malice and solves
The case where lock or malice are paid, chooses corresponding human face characteristic point collecting quantity and is adopted more than the corresponding human face characteristic point of reference grade
Collect the grade of quantity as goal gradient, to ensure the safety of recognition of face.
In one embodiment, user in the entities StoreFront such as supermarket pay under line, then user carries out unlocked by fingerprint first,
Then it is paid by recognition of face, then mobile terminal detects that there are fingerprints in one minute when carrying out recognition of face
The record being proved to be successful, then mobile terminal determine that current environment is safer, it is small to choose corresponding human face characteristic point collecting quantity
In the corresponding human face characteristic point collecting quantity of reference grade grade as goal gradient, to improve recognition of face speed.
In above-mentioned action (43), scene type is payment class, and running of mobile terminal information includes that recognition of face request corresponds to
The account information of beneficiary the acquisition of corresponding human face characteristic point is chosen in multiple grades according to the account information of beneficiary
Quantity is more than or less than the grade of the corresponding human face characteristic point collecting quantity of reference grade as goal gradient.If for example, gathering
The account of side is the account of stranger (personnel not in buddy list), alternatively, the good friend of the account of beneficiary adds the time
Less than certain time (such as one day), then to prevent from having the behavior maliciously transferred accounts, corresponding human face characteristic point collecting quantity is chosen
The grade of human face characteristic point collecting quantity corresponding more than reference grade is as goal gradient, to ensure the safety of recognition of face
Property.For another example, if the account of beneficiary is good friend's account, alternatively, the account of beneficiary, which is history, transfers accounts frequency more than certain frequency
Account, then it is assumed that payout status safety, choose corresponding human face characteristic point collecting quantity be less than the corresponding face of reference grade
The grade of characteristic point collecting quantity is as goal gradient, to improve recognition of face speed.
In above-mentioned action (44), scene type is payment class, and running of mobile terminal information includes that recognition of face request corresponds to
The contact details of recipient the acquisition of corresponding human face characteristic point is chosen in multiple grades according to the contact details of recipient
Quantity is more than or less than the grade of the corresponding human face characteristic point collecting quantity of reference grade as goal gradient.If for example, receiving
The contact details of side are the contact details of the owner of mobile terminal, then it is assumed that payout status safety chooses corresponding face characteristic
Point collecting quantity is less than the grade of the corresponding human face characteristic point collecting quantity of reference grade as goal gradient, to improve face knowledge
Other speed, for another example, if the contact details of recipient are not the contact details of the owner of mobile terminal, then it is assumed that payout status exists
Certain security risk chooses corresponding human face characteristic point collecting quantity and is more than the corresponding human face characteristic point collecting quantity of reference grade
Grade as goal gradient, to ensure the safety of recognition of face.Wherein, contact details include name, address, phone number
Deng.
In the case of one kind, scene type is non-pay class, then can determine goal gradient by any one following mode：
(45) running of mobile terminal information includes the network information of mobile terminal connection, according to the network information and default network
The comparison result of information is chosen corresponding human face characteristic point collecting quantity in multiple grades and is corresponded to more than or less than reference grade
Human face characteristic point collecting quantity grade as goal gradient；
(46) running of mobile terminal information includes the subscriber authentication record of mobile terminal within a preset period of time, according to
Subscriber authentication records, and corresponding human face characteristic point collecting quantity is chosen in multiple grades and is more than or less than reference grade pair
The grade for the human face characteristic point collecting quantity answered is as goal gradient；
Above-mentioned action (41) can be referred to and act the specific mistake of (42) by acting the detailed process of (45) and action (46)
Journey is not repeated herein.
In the embodiment of the present invention, in the case where paying scene, any one mode that can be used in above-mentioned (41) to (44) determines
Goal gradient in the embodiment of the present invention, under non-pay scene, can be used above-mentioned action (45) or (46) determines goal gradient,
Corresponding goal gradient is determined to adapt to different scenes, improves the flexibility of recognition of face.
In view of recognition of face parameter further includes face alignment by threshold value, in the embodiment of the present application, with face characteristic
Before point collecting quantity carries out recognition of face, further include：According to scene information, determine that corresponding face alignment is asked in recognition of face
Pass through threshold value.Correspondingly, recognition of face is carried out with human face characteristic point collecting quantity, including：With human face characteristic point collecting quantity and
Face alignment carries out recognition of face by threshold value.
Wherein, according to scene information, determine that recognition of face asks corresponding face alignment by threshold value, including：
(a) scene type of recognition of face is determined according to scene type information；Wherein, scene type includes payment class and non-
Pay class；
(b) according to scene type, the corresponding reference grade of recognition of face request is chosen in preset multiple grades；Its
In, it is different that the corresponding face alignment of each grade passes through threshold value；
(c) according to running of mobile terminal information and reference grade, determine that recognition of face request is corresponding in multiple grades
Goal gradient；Wherein, the corresponding face alignment of goal gradient is more than or less than the corresponding face alignment of reference grade by threshold value
Pass through threshold value；
(d) by the corresponding face alignment of goal gradient by threshold value, ask corresponding face alignment logical as recognition of face
Cross threshold value.
Wherein, when scene type is payment class, according to running of mobile terminal information and reference grade, in multiple grades
It determines that corresponding goal gradient is asked in recognition of face, specifically includes：
(c1) running of mobile terminal information includes the network information of mobile terminal connection, according to the network information and default network
It is corresponding more than or less than reference grade by threshold value to choose corresponding face alignment in multiple grades for the comparison result of information
Face alignment is used as goal gradient by the grade of threshold value；
(c2) running of mobile terminal information includes the subscriber authentication record of mobile terminal within a preset period of time, according to
Subscriber authentication records, and corresponding face alignment is chosen in multiple grades and is corresponded to more than or less than reference grade by threshold value
Face alignment goal gradient is used as by the grade of threshold value；
(c3) running of mobile terminal information includes the account information that corresponding beneficiary is asked in recognition of face, according to beneficiary
Account information, chosen in multiple grades corresponding face alignment by threshold value be more than or less than the corresponding face of reference grade
It compares and goal gradient is used as by the grade of threshold value；
(c4) running of mobile terminal information includes the contact details that corresponding recipient is asked in recognition of face, according to recipient
Contact details and mobile terminal owner contact details comparison result, corresponding face alignment is chosen in multiple grades
Goal gradient is used as by the grade of threshold value more than or less than reference grade corresponding face alignment by threshold value.
Wherein, when scene type is non-pay class, according to running of mobile terminal information and reference grade, in multiple grades
Corresponding goal gradient is asked in middle determining recognition of face, is specifically included：
(c5) running of mobile terminal information includes the network information of mobile terminal connection, according to the network information and default network
It is corresponding more than or less than reference grade by threshold value to choose corresponding face alignment in multiple grades for the comparison result of information
Face alignment is used as goal gradient by the grade of threshold value；
(c6) running of mobile terminal information includes the subscriber authentication record of mobile terminal within a preset period of time, according to
Subscriber authentication records, and corresponding face alignment is chosen in multiple grades and is corresponded to more than or less than reference grade by threshold value
Face alignment goal gradient is used as by the grade of threshold value；
As it can be seen that determining the detailed process and step that recognition of face asks corresponding face alignment by threshold value according to scene information
Rapid 104 is similar, is not repeated herein.
Fig. 2 is the flow diagram for the face identification method that another embodiment of the present invention provides, as shown in Fig. 2, this method
Include the following steps：
Step 202, in the recognition of face request for receiving user, scene information is obtained；
Step 204, according to the scene information, determine that corresponding human face characteristic point collecting quantity is asked in recognition of face；
Step 206, according to the scene information, determine that recognition of face asks corresponding face alignment to pass through threshold value；
Step 208, recognition of face is carried out by threshold value with the human face characteristic point collecting quantity and the face alignment.
By the method in Fig. 2, human face characteristic point collecting quantity and face alignment are determined by threshold value according to scene information,
The advantageous effect that speed and accuracy that recognition of face is balanced under different scenes can be reached, to reach under different scenes
Improve efficiency, reliability and the purpose of safety of recognition of face.
Based on the face identification method in above-described embodiment, an embodiment of the present invention provides a kind of mobile terminals, for holding
The above-mentioned face identification method of row, Fig. 3 are the module composition schematic diagram for the mobile terminal that one embodiment of the invention provides, such as Fig. 3
Shown, which includes：
Acquiring unit 31, in the recognition of face request for receiving user, obtaining scene information；
First determination unit 32, for according to the scene information, determining that the recognition of face asks corresponding face special
Sign point collecting quantity；
Face identification unit 33, for carrying out recognition of face with the human face characteristic point collecting quantity.
Optionally, the scene information includes scene type information and running of mobile terminal information；Described first determines list
Member 32 is specifically used for：
The scene type of recognition of face is determined according to the scene type information；Wherein, the scene type includes payment
Class and non-pay class；
According to the scene type, the recognition of face is chosen in preset multiple grades and asks corresponding benchmark etc.
Grade；Wherein, the corresponding human face characteristic point collecting quantity of each grade is different；
According to the running of mobile terminal information and the reference grade, determine that the face is known in the multiple grade
It does not invite and seeks corresponding goal gradient；Wherein, the corresponding human face characteristic point collecting quantity of the goal gradient is more than or less than described
The corresponding human face characteristic point collecting quantity of reference grade；
By the corresponding human face characteristic point collecting quantity of the goal gradient, corresponding face is asked as the recognition of face
Characteristic point collecting quantity.
Optionally, the scene type is payment class；First determination unit 32 is specifically used for realizing in following manner
Any one：
The running of mobile terminal information includes the network information of mobile terminal connection, according to the network information with
The comparison result of the default network information, corresponding human face characteristic point collecting quantity is chosen in the multiple grade and is more than or less than
The grade of the corresponding human face characteristic point collecting quantity of the reference grade is as the goal gradient；
The running of mobile terminal information includes the subscriber authentication record of the mobile terminal within a preset period of time,
It is recorded according to the subscriber authentication, corresponding human face characteristic point collecting quantity is chosen in the multiple grade and is more than or small
In the corresponding human face characteristic point collecting quantity of the reference grade grade as the goal gradient；
The running of mobile terminal information includes the account information that corresponding beneficiary is asked in the recognition of face, according to institute
The account information for stating beneficiary chooses corresponding human face characteristic point collecting quantity more than or less than described in the multiple grade
The grade of the corresponding human face characteristic point collecting quantity of reference grade is as the goal gradient；
The running of mobile terminal information includes the contact details that corresponding recipient is asked in the recognition of face, according to institute
The comparison result for stating the contact details of recipient and the contact details of the owner of the mobile terminal, is selected in the multiple grade
Take corresponding human face characteristic point collecting quantity be more than or less than the corresponding human face characteristic point collecting quantity of the reference grade etc.
Grade is used as the goal gradient.
Optionally, the scene type is non-pay class；First determination unit 32 is specifically used for realizing following manner
In any one：
The running of mobile terminal information includes the network information of mobile terminal connection, according to the network information with
The comparison result of the default network information, corresponding human face characteristic point collecting quantity is chosen in the multiple grade and is more than or less than
The grade of the corresponding human face characteristic point collecting quantity of the reference grade is as the goal gradient；
The running of mobile terminal information includes the subscriber authentication record of the mobile terminal within a preset period of time,
It is recorded according to the subscriber authentication, corresponding human face characteristic point collecting quantity is chosen in the multiple grade and is more than or small
In the corresponding human face characteristic point collecting quantity of the reference grade grade as the goal gradient.
Optionally, which further includes：
Second determination unit is used for before carrying out recognition of face with the human face characteristic point collecting quantity, according to described
Scene information determines that the recognition of face asks corresponding face alignment to pass through threshold value；
The face identification unit 33 is specifically used for：
Recognition of face is carried out by threshold value with the human face characteristic point collecting quantity and the face alignment.
In the embodiment of the present invention, in the recognition of face request for receiving user, scene information is obtained, according to scene information,
It determines that corresponding human face characteristic point collecting quantity is asked in recognition of face, recognition of face is carried out with the human face characteristic point collecting quantity.
Since human face characteristic point collecting quantity is the parameter for influencing recognition of face speed, through the embodiment of the present invention, according to scene
Information determines human face characteristic point collecting quantity when recognition of face, can reach and flexibly control recognition of face speed under different scenes
The effect of degree, to improve recognition of face efficiency.
A kind of hardware architecture diagram of Fig. 4 mobile terminals of each embodiment to realize the present invention should as shown in Fig. 4
Mobile terminal 800 includes but not limited to：Radio frequency unit 801, network module 802, audio output unit 803, input unit 804,
Sensor 805, display unit 806, user input unit 807, interface unit 808, memory 809, processor 810, Yi Ji electricity
The components such as source 811.It will be understood by those skilled in the art that mobile terminal structure shown in Fig. 4 is not constituted to mobile terminal
Restriction, mobile terminal may include either combining certain components or different components than illustrating more or fewer components
Arrangement.In embodiments of the present invention, mobile terminal include but not limited to mobile phone, tablet computer, laptop, palm PC,
Car-mounted terminal, wearable device and pedometer etc..
Wherein, it is stored with computer program in memory 809, when which is executed by processor 810, Neng Goushi
Existing following below scheme：
In the recognition of face request for receiving user, scene information is obtained；
According to the scene information, determine that corresponding human face characteristic point collecting quantity is asked in the recognition of face；
Recognition of face is carried out with the human face characteristic point collecting quantity.
Optionally, when which is executed by processor 810, the scene information includes scene type information and shifting
Dynamic terminal operating information；
According to the scene information, determine that corresponding human face characteristic point collecting quantity is asked in the recognition of face, including：
The scene type of recognition of face is determined according to the scene type information；Wherein, the scene type includes payment
Class and non-pay class；
According to the scene type, the recognition of face is chosen in preset multiple grades and asks corresponding benchmark etc.
Grade；Wherein, the corresponding human face characteristic point collecting quantity of each grade is different；
According to the running of mobile terminal information and the reference grade, determine that the face is known in the multiple grade
It does not invite and seeks corresponding goal gradient；Wherein, the corresponding human face characteristic point collecting quantity of the goal gradient is more than or less than described
The corresponding human face characteristic point collecting quantity of reference grade；
By the corresponding human face characteristic point collecting quantity of the goal gradient, corresponding face is asked as the recognition of face
Characteristic point collecting quantity.
Optionally, when which is executed by processor 810, the scene type is payment class；According to the shifting
Dynamic terminal operating information and the reference grade determine that corresponding target etc. is asked in the recognition of face in the multiple grade
Grade, including any one in following manner：
The running of mobile terminal information includes the network information of mobile terminal connection, according to the network information with
The comparison result of the default network information, corresponding human face characteristic point collecting quantity is chosen in the multiple grade and is more than or less than
The grade of the corresponding human face characteristic point collecting quantity of the reference grade is as the goal gradient；
The running of mobile terminal information includes the subscriber authentication record of the mobile terminal within a preset period of time,
It is recorded according to the subscriber authentication, corresponding human face characteristic point collecting quantity is chosen in the multiple grade and is more than or small
In the corresponding human face characteristic point collecting quantity of the reference grade grade as the goal gradient；
The running of mobile terminal information includes the account information that corresponding beneficiary is asked in the recognition of face, according to institute
The account information for stating beneficiary chooses corresponding human face characteristic point collecting quantity more than or less than described in the multiple grade
The grade of the corresponding human face characteristic point collecting quantity of reference grade is as the goal gradient；
The running of mobile terminal information includes the contact details that corresponding recipient is asked in the recognition of face, according to institute
The comparison result for stating the contact details of recipient and the contact details of the owner of the mobile terminal, is selected in the multiple grade
Take corresponding human face characteristic point collecting quantity be more than or less than the corresponding human face characteristic point collecting quantity of the reference grade etc.
Grade is used as the goal gradient.
Optionally, when which is executed by processor 810, the scene type is non-pay class；According to described
Running of mobile terminal information and the reference grade determine that corresponding target is asked in the recognition of face in the multiple grade
Any one in grade, including following manner：
The running of mobile terminal information includes the network information of mobile terminal connection, according to the network information with
The comparison result of the default network information, corresponding human face characteristic point collecting quantity is chosen in the multiple grade and is more than or less than
The grade of the corresponding human face characteristic point collecting quantity of the reference grade is as the goal gradient；
The running of mobile terminal information includes the subscriber authentication record of the mobile terminal within a preset period of time,
It is recorded according to the subscriber authentication, corresponding human face characteristic point collecting quantity is chosen in the multiple grade and is more than or small
In the corresponding human face characteristic point collecting quantity of the reference grade grade as the goal gradient.
Optionally, when which is executed by processor 810, with the human face characteristic point collecting quantity into pedestrian
Before face identification, further include：
According to the scene information, determine that the recognition of face asks corresponding face alignment to pass through threshold value；
Recognition of face is carried out with the human face characteristic point collecting quantity, including：
Recognition of face is carried out by threshold value with the human face characteristic point collecting quantity and the face alignment.
In the embodiment of the present invention, in the recognition of face request for receiving user, scene information is obtained, according to scene information,
It determines that corresponding human face characteristic point collecting quantity is asked in recognition of face, recognition of face is carried out with the human face characteristic point collecting quantity.
Since human face characteristic point collecting quantity is the parameter for influencing recognition of face speed, through the embodiment of the present invention, according to scene
Information determines human face characteristic point collecting quantity when recognition of face, can reach and flexibly control recognition of face speed under different scenes
The effect of degree, to improve recognition of face efficiency.
It should be understood that the embodiment of the present invention in, radio frequency unit 801 can be used for receiving and sending messages or communication process in, signal
Send and receive, specifically, by from base station downlink data receive after, to processor 810 handle；In addition, by uplink
Data are sent to base station.In general, radio frequency unit 801 includes but not limited to antenna, at least one amplifier, transceiver, coupling
Device, low-noise amplifier, duplexer etc..In addition, radio frequency unit 801 can also by radio communication system and network and other set
Standby communication.
Mobile terminal has provided wireless broadband internet to the user by network module 802 and has accessed, and such as user is helped to receive
Send e-mails, browse webpage and access streaming video etc..
It is that audio output unit 803 can receive radio frequency unit 801 or network module 802 or in memory 809
The audio data of storage is converted into audio signal and exports to be sound.Moreover, audio output unit 803 can also be provided and be moved
The relevant audio output of specific function that dynamic terminal 800 executes is (for example, call signal receives sound, message sink sound etc.
Deng).Audio output unit 803 includes loud speaker, buzzer and receiver etc..
Input unit 804 is for receiving audio or video signal.Input unit 804 may include graphics processor
(Graphics Processing Unit, GPU) 8041 and microphone 8042, graphics processor 8041 in video to capturing mould
The image data of the static images or video that are obtained by image capture apparatus (such as camera) in formula or image capture mode carries out
Processing.Treated, and picture frame may be displayed on display unit 806.It can be with through treated the picture frame of graphics processor 8041
It is stored in memory 809 (or other storage mediums) or is sent via radio frequency unit 801 or network module 802.Wheat
Gram wind 8042 can receive sound, and can be audio data by such acoustic processing.Treated audio data can be with
The format output of mobile communication base station can be sent to via radio frequency unit 801 by being converted in the case of telephone calling model.
Mobile terminal 800 further includes at least one sensor 805, such as optical sensor, motion sensor and other biographies
Sensor.Specifically, optical sensor includes ambient light sensor and proximity sensor, wherein ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel 8061, and proximity sensor can close when mobile terminal 800 is moved in one's ear
Display panel 8061 and/or backlight.As a kind of motion sensor, accelerometer sensor can detect in all directions (general
For three axis) size of acceleration, size and the direction of gravity are can detect that when static, can be used to identify mobile terminal posture (ratio
Such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap)；It passes
Sensor 805 can also include fingerprint sensor, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer, wet
Meter, thermometer, infrared sensor etc. are spent, details are not described herein.
Display unit 806 is for showing information input by user or being supplied to the information of user.Display unit 806 can
Including display panel 8061, liquid crystal display (Liquid Crystal Display, LCD), organic light-emitting diodes may be used
Forms such as (Organic Light-Emitting Diode, OLED) are managed to configure display panel 8061.
User input unit 807 can be used for receiving the number or character information of input, and generate the use with mobile terminal
Family is arranged and the related key signals input of function control.Specifically, user input unit 807 include touch panel 8071 and
Other input equipments 8072.Touch panel 8071, also referred to as touch screen collect user on it or neighbouring touch operation
(for example user uses any suitable objects or attachment such as finger, stylus on touch panel 8071 or in touch panel 8071
Neighbouring operation).Touch panel 8071 may include both touch detecting apparatus and touch controller.Wherein, touch detection
Device detects the touch orientation of user, and detects the signal that touch operation is brought, and transmits a signal to touch controller；Touch control
Device processed receives touch information from touch detecting apparatus, and is converted into contact coordinate, then gives processor 810, receiving area
It manages the order that device 810 is sent and is executed.Furthermore, it is possible to more using resistance-type, condenser type, infrared ray and surface acoustic wave etc.
Type realizes touch panel 8071.In addition to touch panel 8071, user input unit 807 can also include other input equipments
8072.Specifically, other input equipments 8072 can include but is not limited to physical keyboard, function key (such as volume control button,
Switch key etc.), trace ball, mouse, operating lever, details are not described herein.
Further, touch panel 8071 can be covered on display panel 8061, when touch panel 8071 is detected at it
On or near touch operation after, send processor 810 to determine the type of touch event, be followed by subsequent processing device 810 according to touch
The type for touching event provides corresponding visual output on display panel 8061.Although in Fig. 4, touch panel 8071 and display
Panel 8061 is to realize the function that outputs and inputs of mobile terminal as two independent components, but in some embodiments
In, can be integrated by touch panel 8071 and display panel 8061 and realize the function that outputs and inputs of mobile terminal, it is specific this
Place does not limit.
Interface unit 808 is the interface that external device (ED) is connect with mobile terminal 800.For example, external device (ED) may include having
Line or wireless head-band earphone port, external power supply (or battery charger) port, wired or wireless data port, storage card end
Mouth, the port for connecting the device with identification module, the port audio input/output (I/O), video i/o port, earphone
Port etc..Interface unit 808 can be used for receiving the input (for example, data information, electric power etc.) from external device (ED) simultaneously
And by one or more elements that the input received is transferred in mobile terminal 800 or it can be used in mobile terminal 800
The transmission data between external device (ED).
Memory 809 can be used for storing software program and various data.Memory 809 can include mainly storing program area
And storage data field, wherein storing program area can storage program area, application program (such as the sound needed at least one function
Sound playing function, image player function etc.) etc.；Storage data field can store according to mobile phone use created data (such as
Audio data, phone directory etc.) etc..In addition, memory 809 may include high-speed random access memory, can also include non-easy
The property lost memory, a for example, at least disk memory, flush memory device or other volatile solid-state parts.
Processor 810 is the control centre of mobile terminal, utilizes each of various interfaces and the entire mobile terminal of connection
A part by running or execute the software program and/or module that are stored in memory 809, and calls and is stored in storage
Data in device 809 execute the various functions and processing data of mobile terminal, to carry out integral monitoring to mobile terminal.Place
Reason device 810 may include one or more processing units；Preferably, processor 810 can integrate application processor and modulatedemodulate is mediated
Manage device, wherein the main processing operation system of application processor, user interface and application program etc., modem processor is main
Processing wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 810.
Mobile terminal 800 can also include the power supply 811 (such as battery) powered to all parts, it is preferred that power supply 811
Can be logically contiguous by power-supply management system and processor 810, to realize management charging by power-supply management system, put
The functions such as electricity and power managed.
In addition, mobile terminal 800 includes some unshowned function modules, details are not described herein.
Preferably, the embodiment of the present invention also provides a kind of mobile terminal, including processor, and memory is stored in memory
Computer program that is upper and can running on the processor, the computer program realize that above-mentioned face is known when being executed by processor
Each process of other embodiment of the method, and identical technique effect can be reached, to avoid repeating, which is not described herein again.
Further, the embodiment of the present invention also provides a kind of computer readable storage medium, computer readable storage medium
On be stored with computer program, which realizes each of above-mentioned face identification method embodiment when being executed by processor
Process, and identical technique effect can be reached, to avoid repeating, which is not described herein again.Wherein, the computer-readable storage
Medium, such as read-only memory (Read-Only Memory, abbreviation ROM), random access memory (Random Access
Memory, abbreviation RAM), magnetic disc or CD etc..
It should be noted that herein, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that process, method, article or device including a series of elements include not only those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including this
There is also other identical elements in the process of element, method, article or device.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical scheme of the present invention substantially in other words does the prior art
Going out the part of contribution can be expressed in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), including some instructions are used so that a station terminal (can be mobile phone, computer, service
Device, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited in above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form belongs within the protection of the present invention.
Claims (10)
1. a kind of face identification method is applied to mobile terminal, which is characterized in that including：
In the recognition of face request for receiving user, scene information is obtained；
According to the scene information, determine that corresponding human face characteristic point collecting quantity is asked in the recognition of face；
Recognition of face is carried out with the human face characteristic point collecting quantity.
2. according to the method described in claim 1, it is characterized in that, the scene information includes that scene type information and movement are whole
Hold operation information；
According to the scene information, determine that corresponding human face characteristic point collecting quantity is asked in the recognition of face, including：
The scene type of recognition of face is determined according to the scene type information；Wherein, the scene type include payment class and
Non-pay class；
According to the scene type, the recognition of face is chosen in preset multiple grades and asks corresponding reference grade；Its
In, the corresponding human face characteristic point collecting quantity of each grade is different；
According to the running of mobile terminal information and the reference grade, determine that the recognition of face is asked in the multiple grade
Seek corresponding goal gradient；Wherein, the corresponding human face characteristic point collecting quantity of the goal gradient is more than or less than the benchmark
The corresponding human face characteristic point collecting quantity of grade；
By the corresponding human face characteristic point collecting quantity of the goal gradient, corresponding face characteristic is asked as the recognition of face
Point collecting quantity.
3. according to the method described in claim 2, it is characterized in that, the scene type is payment class；According to described mobile whole
Operation information and the reference grade are held, determines that corresponding goal gradient is asked in the recognition of face in the multiple grade,
Including any one in following manner：
The running of mobile terminal information includes the network information of the mobile terminal connection, according to the network information and is preset
The comparison result of the network information chooses corresponding human face characteristic point collecting quantity more than or less than described in the multiple grade
The grade of the corresponding human face characteristic point collecting quantity of reference grade is as the goal gradient；
The running of mobile terminal information includes the subscriber authentication record of the mobile terminal within a preset period of time, according to
The subscriber authentication record, corresponding human face characteristic point collecting quantity is chosen in the multiple grade and is more than or less than institute
The grade of the corresponding human face characteristic point collecting quantity of reference grade is stated as the goal gradient；
The running of mobile terminal information includes the account information that corresponding beneficiary is asked in the recognition of face, according to the receipts
The account information of money side chooses corresponding human face characteristic point collecting quantity in the multiple grade and is more than or less than the benchmark
The grade of the corresponding human face characteristic point collecting quantity of grade is as the goal gradient；
The running of mobile terminal information includes the contact details that corresponding recipient is asked in the recognition of face, according to the receipts
The comparison result of the contact details of cargo interests and the contact details of the owner of the mobile terminal, the selection pair in the multiple grade
The grade that the human face characteristic point collecting quantity answered is more than or less than the corresponding human face characteristic point collecting quantity of the reference grade is made
For the goal gradient.
4. according to the method described in claim 2, it is characterized in that, the scene type is non-pay class；According to the movement
Terminal operating information and the reference grade determine that corresponding target etc. is asked in the recognition of face in the multiple grade
Grade, including any one in following manner：
The running of mobile terminal information includes the network information of the mobile terminal connection, according to the network information and is preset
The comparison result of the network information chooses corresponding human face characteristic point collecting quantity more than or less than described in the multiple grade
The grade of the corresponding human face characteristic point collecting quantity of reference grade is as the goal gradient；
The running of mobile terminal information includes the subscriber authentication record of the mobile terminal within a preset period of time, according to
The subscriber authentication record, corresponding human face characteristic point collecting quantity is chosen in the multiple grade and is more than or less than institute
The grade of the corresponding human face characteristic point collecting quantity of reference grade is stated as the goal gradient.
5. method according to any one of claims 1 to 4, which is characterized in that with the human face characteristic point collecting quantity
Before carrying out recognition of face, the method further includes：
According to the scene information, determine that the recognition of face asks corresponding face alignment to pass through threshold value；
Recognition of face is carried out with the human face characteristic point collecting quantity, including：
Recognition of face is carried out by threshold value with the human face characteristic point collecting quantity and the face alignment.
6. a kind of mobile terminal, which is characterized in that including：
Acquiring unit, in the recognition of face request for receiving user, obtaining scene information；
First determination unit, for according to the scene information, determining that the recognition of face asks corresponding human face characteristic point to be adopted
Collect quantity；
Face identification unit, for carrying out recognition of face with the human face characteristic point collecting quantity.
7. mobile terminal according to claim 6, which is characterized in that the scene information includes scene type information and shifting
Dynamic terminal operating information；First determination unit is specifically used for：
The scene type of recognition of face is determined according to the scene type information；Wherein, the scene type include payment class and
Non-pay class；
According to the scene type, the recognition of face is chosen in preset multiple grades and asks corresponding reference grade；Its
In, the corresponding human face characteristic point collecting quantity of each grade is different；
According to the running of mobile terminal information and the reference grade, determine that the recognition of face is asked in the multiple grade
Seek corresponding goal gradient；Wherein, the corresponding human face characteristic point collecting quantity of the goal gradient is more than or less than the benchmark
The corresponding human face characteristic point collecting quantity of grade；
By the corresponding human face characteristic point collecting quantity of the goal gradient, corresponding face characteristic is asked as the recognition of face
Point collecting quantity.
8. mobile terminal according to claim 7, which is characterized in that the scene type is payment class；Described first really
Order member is specifically used for realizing any one in following manner：
The running of mobile terminal information includes the network information of the mobile terminal connection, according to the network information and is preset
The comparison result of the network information chooses corresponding human face characteristic point collecting quantity more than or less than described in the multiple grade
The grade of the corresponding human face characteristic point collecting quantity of reference grade is as the goal gradient；
The running of mobile terminal information includes the subscriber authentication record of the mobile terminal within a preset period of time, according to
The subscriber authentication record, corresponding human face characteristic point collecting quantity is chosen in the multiple grade and is more than or less than institute
The grade of the corresponding human face characteristic point collecting quantity of reference grade is stated as the goal gradient；
The running of mobile terminal information includes the account information that corresponding beneficiary is asked in the recognition of face, according to the receipts
The account information of money side chooses corresponding human face characteristic point collecting quantity in the multiple grade and is more than or less than the benchmark
The grade of the corresponding human face characteristic point collecting quantity of grade is as the goal gradient；
The running of mobile terminal information includes the contact details that corresponding recipient is asked in the recognition of face, according to the receipts
The comparison result of the contact details of cargo interests and the contact details of the owner of the mobile terminal, the selection pair in the multiple grade
The grade that the human face characteristic point collecting quantity answered is more than or less than the corresponding human face characteristic point collecting quantity of the reference grade is made
For the goal gradient.
9. mobile terminal according to claim 7, which is characterized in that the scene type is non-pay class；Described first
Determination unit is specifically used for realizing any one in following manner：
The running of mobile terminal information includes the network information of the mobile terminal connection, according to the network information and is preset
The comparison result of the network information chooses corresponding human face characteristic point collecting quantity more than or less than described in the multiple grade
The grade of the corresponding human face characteristic point collecting quantity of reference grade is as the goal gradient；
The running of mobile terminal information includes the subscriber authentication record of the mobile terminal within a preset period of time, according to
The subscriber authentication record, corresponding human face characteristic point collecting quantity is chosen in the multiple grade and is more than or less than institute
The grade of the corresponding human face characteristic point collecting quantity of reference grade is stated as the goal gradient.
10. according to claim 6 to 9 any one of them mobile terminal, which is characterized in that further include：
Second determination unit is used for before carrying out recognition of face with the human face characteristic point collecting quantity, according to the scene
Information determines that the recognition of face asks corresponding face alignment to pass through threshold value；
The face identification unit is specifically used for：
Recognition of face is carried out by threshold value with the human face characteristic point collecting quantity and the face alignment.
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| CN201810258608.2A CN108629280B (en) | 2018-03-27 | 2018-03-27 | Face recognition method and mobile terminal |
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