CN108960111A - Face identification method, system and terminal device - Google Patents
Face identification method, system and terminal device Download PDFInfo
- Publication number
- CN108960111A CN108960111A CN201810668961.8A CN201810668961A CN108960111A CN 108960111 A CN108960111 A CN 108960111A CN 201810668961 A CN201810668961 A CN 201810668961A CN 108960111 A CN108960111 A CN 108960111A
- Authority
- CN
- China
- Prior art keywords
- identified
- photo
- user
- target
- users
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000004590 computer program Methods 0.000 claims description 19
- 238000012216 screening Methods 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000012790 confirmation Methods 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000008569 process Effects 0.000 description 17
- 238000010586 diagram Methods 0.000 description 11
- 230000006870 function Effects 0.000 description 10
- 238000012545 processing Methods 0.000 description 6
- 230000003760 hair shine Effects 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 238000003032 molecular docking Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- SBNFWQZLDJGRLK-UHFFFAOYSA-N phenothrin Chemical compound CC1(C)C(C=C(C)C)C1C(=O)OCC1=CC=CC(OC=2C=CC=CC=2)=C1 SBNFWQZLDJGRLK-UHFFFAOYSA-N 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Collating Specific Patterns (AREA)
Abstract
The present invention is suitable for biometrics identification technology field, disclose a kind of face identification method, system and terminal device, it include: the first user information set for obtaining several first users to be identified, first user information set includes User Identity, the first photo and the second photo, wherein the first photo is the human face photo being taken on site, and the second photo is the identity card picture being taken on site；Credit record is obtained according to User Identity, and credit value is determined according to credit record；From the several first users to be identified, the several second users to be identified that corresponding credit value is more than default prestige threshold value are filtered out；The third photo of each second user to be identified is obtained, wherein third photo is the photo on the identity card saved in public security system；The first photo, the second photo, third photo of each second user to be identified are compared, the face recognition result of each second user to be identified is obtained.The present invention can improve the efficiency and accuracy of recognition of face.
Description
Technical field
The invention belongs to biometrics identification technology fields more particularly to a kind of face identification method, system and terminal to set
It is standby.
Background technique
Recognition of face is the authentication process itself of the high risks industry such as finance.Recognition of face is usually to carry out to two faces
Comparison, to judge whether two faces are the same persons.
It is existing that knowledge method for distinguishing is carried out to face, it usually obtains the human face photo of user to be identified and prestores
It verifies photo comparison and identifies success if comparing result is consistent, if comparing result is inconsistent, recognition failures.But this knowledge
The problem of other mode can only once identify the human face photo of a people, lead to the low process efficiency of recognition of face, poor accuracy.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of face identification method, system and terminal device, it is existing to solve
The problem of process efficiency is low, poor accuracy of recognition of face.
The first aspect of the embodiment of the present invention provides a kind of face identification method, comprising:
The first user information set of the several first users to be identified is obtained, the first user information set includes several first
The User Identity of user to be identified, the first photo and the second photo, wherein the first photo is several first be taken on site
The human face photo of user to be identified, the second photo are the identity card picture for the several first users to be identified being taken on site；
The credit record of the several first users to be identified is obtained according to User Identity, and if according to credit record determination
The credit value of dry first user to be identified；
From the several first users to be identified, filter out corresponding credit value be more than default prestige threshold value several second to
Identify user；
Obtain the third photo of each second user to be identified, wherein third photo be each second user to be identified
The photo on identity card saved in public security system；
The first photo, the second photo, third photo of each second user to be identified are compared, obtain each second
The face recognition result of user to be identified.
The second aspect of the embodiment of the present invention provides a kind of face identification system, comprising:
User profile acquisition module, for obtaining the first user information set of the several first users to be identified, first is used
Family information aggregate includes the User Identity, the first photo and the second photo of the several first users to be identified, wherein first shines
Piece is the human face photo for the several first users to be identified being taken on site, and the second photo be the several first to be identified of live shooting
The identity card picture of user；
Credit record obtains module, and the credit for obtaining the several first users to be identified according to User Identity is remembered
It records, and determines the credit value of the several first users to be identified according to credit record；
Screening module is more than default prestige threshold for from the several first users to be identified, filtering out corresponding credit value
Several second users to be identified of value；
Third photo obtains module, and for obtaining the third photo of each second user to be identified, wherein third photo is
Photo on the identity card of each second user to be identified saved in public security system；
Contrast module, for carrying out pair the first photo, the second photo, third photo of each second user to be identified
Than obtaining the face recognition result of each second user to be identified.
The third aspect of the embodiment of the present invention provides a kind of terminal device, including memory, processor and is stored in
In memory and the computer program that can run on a processor, processor realize face as described above when executing computer program
The step of recognition methods.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, computer readable storage medium
It is stored with computer program, face identification method as described above is realized when computer program is executed by one or more processors
Step.
Existing beneficial effect is the embodiment of the present invention compared with prior art: the embodiment of the present invention is by obtaining several the
The first user information set of one user to be identified is remembered according to the credit that User Identity obtains the several first users to be identified
Record, and determine that the credit value of the several first users to be identified is filtered out from the several first users to be identified according to credit record
Corresponding credit value is more than the several second users to be identified of default prestige threshold value, can obtain the user of user to be identified in batches
Information, in advance screening obtain the good user to be identified of credit record, and the poor user to be identified of removal credit record reduces it
The workload of recognition of face afterwards improves the efficiency of recognition of face；By obtaining the third photo of each second user to be identified,
Wherein third photo is the photo on the identity card of each second user to be identified saved in public security system, by each second
The first photo, the second photo, the third photo of user to be identified compares, and the face for obtaining each second user to be identified is known
Not as a result, can by the human face photo of the live shooting of user to be identified, live shooting identity card picture and public security system in
Photo on the identity card of preservation compares, can both determine user to be identified identity card picture whether in public security system
Photo it is consistent, can also determine live shooting human face photo whether with the photo one in identity card picture or public security system
It causes, the accuracy of recognition of face can be improved.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is the implementation process schematic diagram for the face identification method that one embodiment of the invention provides；
Fig. 2 is the implementation process schematic diagram for the face identification method that further embodiment of this invention provides；
Fig. 3 is the implementation process schematic diagram for the face identification method that yet another embodiment of the invention provides；
Fig. 4 is the schematic block diagram for the face identification system that one embodiment of the invention provides；
Fig. 5 is the schematic block diagram for the terminal device that one embodiment of the invention provides.
Specific embodiment
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed
Body details, so as to provide a thorough understanding of the present application embodiment.However, it will be clear to one skilled in the art that there is no these specific
The application also may be implemented in the other embodiments of details.In other situations, it omits to well-known system, device, electricity
The detailed description of road and method, so as not to obscure the description of the present application with unnecessary details.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " instruction is described special
Sign, entirety, step, operation, the presence of element and/or component, but be not precluded one or more of the other feature, entirety, step,
Operation, the presence or addition of element, component and/or its set.
It is also understood that mesh of the term used in this present specification merely for the sake of description specific embodiment
And be not intended to limit the application.As present specification and it is used in the attached claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in present specification and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
As used in this specification and in the appended claims, term " if " can be according to context quilt
Be construed to " when ... " or " once " or " in response to determination " or " in response to detecting ".Similarly, phrase " if it is determined that " or
" if detecting [described condition or event] " can be interpreted to mean according to context " once it is determined that " or " in response to true
It is fixed " or " once detecting [described condition or event] " or " in response to detecting [described condition or event] ".
In order to illustrate technical solutions according to the invention, the following is a description of specific embodiments.
Fig. 1 is the implementation process schematic diagram for the face identification method that one embodiment of the invention provides, for ease of description, only
Show part related to the embodiment of the present invention.The executing subject of the embodiment of the present invention can be terminal device.Such as Fig. 1 institute
Show, this method may comprise steps of:
Step S101: the first user information set of several first users to be identified, the first user information set packet are obtained
The User Identity, the first photo and the second photo of the several first users to be identified are included, wherein the first photo is to be taken on site
The several first users to be identified human face photo, the second photo be taken on site the several first users to be identified identity card
Photo.
In embodiments of the present invention, User Identity can be the identification card number of the first user to be identified, be also possible to
Other identity that can uniquely distinguish the first user to be identified.First photo and the second photo can be field personnel's bat
The photo taken the photograph is also possible to the photo that the first user to be identified is shot by self-service device.First photo be taken on site can
See the clear pictures of the face of the first user to be identified clearly；Second photo be taken on site see the first user to be identified clearly
The clear pictures of photo on identity card.
First user information set can also include name, phone number, organization, application class of service, etc. information.
Step S102: the credit record of the several first users to be identified is obtained according to User Identity, and according to credit
Record determines the credit value of several first users to be identified.
In embodiments of the present invention, terminal device can be looked into according to the User Identity of each first user to be identified
Peripheral canalization is ask, the credit record of each first user to be identified is obtained.Peripheral canalization can be the large system of peace, letter
The system of examining one or more of buys the system of proposing.Credit record may include this transaction generic, the gold of this transaction
Volume, this information such as overdue non-repayment amount of trading.
Credit value be used to measure the first user to be identified credit rating height, can be determined according to credit record first to
Identify the credit value of user.
Step S103: from the several first users to be identified, filtering out corresponding credit value is more than default prestige threshold value
Several second users to be identified.
In embodiments of the present invention, the first user to be identified that credit value is more than default prestige threshold value is known as second wait know
Other user, the second user to be identified are the preferable users of credit rating.
In financial industry, the lending and borrowing business of the user application poor for some credit ratings will not generally be given and pass through, institute
Recognition of face is carried out again carrying out authentication, user's rejected in advance that can be poor by these credit ratings is reduced may not need
The workload of recognition of face later, improves efficiency.
Default prestige threshold value can be configured according to actual needs.Illustratively, without the user of bad credit record
Credit value be 1, the poorer user's credit value of credit rating is lower, and default prestige threshold value can be set to 0.6, from several first to
It identifies in user, filters out the several second users to be identified that corresponding credit value is more than 0.6.
Step S104: obtaining the third photo of each second user to be identified, and wherein third photo is each second wait know
Photo on the identity card of other user saved in public security system.
In embodiments of the present invention, terminal device obtains each second use to be identified by identity information interface ID5 batch
The third photo at family, if the third photo of this some the second user to be identified obtains failure, by the task of acquisition failure
Failed tasks pond is added, when obtaining third photo by identity information interface ID5 batch next time, by appointing in failed tasks pond
Business is added in this batch acquisition task, until the obtaining failure of the task reacquires to obtain third photo.
Step S105: the first photo, the second photo, third photo of each second user to be identified are compared, obtained
To the face recognition result of each second user to be identified.
In embodiments of the present invention, it by comparing three photos of each second user to be identified, obtains each
The face recognition result of user to be identified.
Batch of the embodiment of the present invention obtains the user information of user to be identified, screening in advance obtain credit record it is good to
Identify user, the poor user to be identified of removal credit record, the workload of the recognition of face after reducing improves recognition of face
Efficiency, and will be protected in the human face photo of the live shooting of user to be identified, the identity card picture of live shooting and public security system
The photo on identity card deposited compares, can both determine user to be identified identity card picture whether in public security system
Photo is consistent, can also determine whether the human face photo of live shooting is consistent with the photo in identity card picture or public security system,
The accuracy of recognition of face can be improved.
Fig. 2 is the implementation process schematic diagram for the face identification method that further embodiment of this invention provides.As shown in Fig. 2,
On the basis of above-described embodiment, step S105 be may comprise steps of:
Step S201: the second photo of each second user to be identified and third photo are compared, and obtain each
The first comparison score value of two users to be identified.
In embodiments of the present invention, the second photo and third photo are compared first, judges the identity being taken on site
Whether the photo on identity card saved in license piece and public security system is consistent, obtains the first comparison score value.
Before the second photo of each second user to be identified and third photo are compared, can also include: by
The second photo and third photo of each second user to be identified pre-processes, and pretreatment includes the photograph for extracting face part
Piece, and illumination compensation, gray scale balance are carried out to the photo for the face part that extraction obtains, reduce noise, raising clarity processing.
Step S202: the first comparison score value of each second user to be identified is compared with default comparison threshold value.
In embodiments of the present invention, default comparison threshold value can be configured according to actual needs.Illustratively, if comparison
Score value full marks are 100 points, then presetting comparison threshold value can be set to 90 points.
If the first comparison score value of the second user to be identified is greater than or equal to default comparison threshold value, second use to be identified
Second photo and third photo at family compare successfully；If the first comparison score value of the second user to be identified is less than default contrast threshold
Value, then the second photo and third photo of second user to be identified compares failure.If the second of second user to be identified shines
Piece and third photo compare failure, then illustrate that the identity card picture of the live shooting of second user to be identified and public security system are protected
The photo on identity card deposited is inconsistent, and there are problems for the identity card which provides, thus determine this second
The face recognition result of user to be identified is recognition failures, no longer needs to carry out next by the first of second user to be identified
Photo and the second photo compare, or, the first photo of second user to be identified and third photo are compared, in this way
The efficiency of recognition of face can be improved.
Step S203: the first comparison score value is greater than or equal to the use to be identified of target second of default comparison threshold value if it exists
Family then compares the first photo of the user to be identified of target second and the second photo, or, by the user to be identified of target second
The first photo and third photo compare, obtain the user to be identified of target second second comparison score value.
In embodiments of the present invention, the first comparison score value is greater than or equal to the second user to be identified of default comparison threshold value
The referred to as user to be identified of target second.The user to be identified of target second if it exists illustrates the scene of the user to be identified of target second
The photo on identity card saved in the identity card picture and public security system of shooting compares success, then by the use to be identified of target second
The human face photo of the live shooting at family and the identity card picture of live shooting compare, or, by the user to be identified of target second
Live shooting human face photo and public security system in photo on the identity card that saves compare, obtain target second wait know
The second comparison score value of other user.
It is compared by the first photo of the user to be identified of target second and the second photo, or, by target second wait know
Before the first photo and third photo of other user compares, the first photo is pre-processed first, pretreatment includes mentioning
Take the photo of face part, and to the photo for the face part that extraction obtains carry out illumination compensation, gray scale balance, reduce noise,
Improve clarity processing.
Step S204: if the second comparison score value of the user to be identified of target second is greater than or equal to default comparison threshold value,
The face recognition result of the user to be identified of target second is to identify successfully, otherwise the recognition of face knot of the user to be identified of target second
Fruit is recognition failures.
The embodiment of the present invention first compares the second photo of the second user to be identified and third photo, it can be determined that
Whether the identity card that the second user to be identified provides is correctly, if the identity card that the second user to be identified provides is incorrect
, then it no longer needs to carry out following photo comparison；If the second photo of the second user to be identified and third photo comparison success,
The first photo of second user to be identified and the second photo are compared, or, by the first photo of the second user to be identified and
Third photo compares, and the accuracy of recognition of face can be improved.
As further embodiment of this invention, on the basis of the above embodiments, step S105 can with the following steps are included:
If the face recognition result of the user to be identified of target second is recognition failures, by the first photo, the second photo, the
Three photos, the first comparison score value and the second comparison score value are sent to display terminal, so that display terminal reminds auditor by the
One photo, the second photo and third photo compare, and obtain final comparing result.
The final comparing result that display terminal is sent is received, and using final comparing result as the user to be identified of target second
Final face recognition result.
In embodiments of the present invention, if the face recognition result of the user to be identified of target second is recognition failures, increase
The link of manual examination and verification, auditor compare the first photo, the second photo and third photo, and refer to first pair of score
Value and the second comparison score value, obtain manual examination and verification as a result, the artificial auditing result is known as final comparing result, and this is final
Final face recognition result of the comparing result as the user to be identified of target second.The embodiment of the present invention is by increasing artificial examine
The link of core can be further improved the accuracy of recognition of face.
Fig. 3 is the implementation process schematic diagram for the face identification method that yet another embodiment of the invention provides.As shown in figure 3,
On the basis of above-described embodiment, in above-mentioned steps S102, the credit value of the several first users to be identified is determined according to credit record
Process, may comprise steps of:
Step S301: determine whether each first user to be identified has bad credit record according to credit record.
In embodiments of the present invention, can be judged according to the overdue non-repayment amount of this transaction in every credit record each
Whether the first user to be identified has bad credit record.If this in credit record is traded, overdue non-repayment amount is not zero,
Then this credit record is bad credit record.If in every credit record of the first user to be identified, this transaction is overdue not
Repayment amount is zero, then bad credit record is not present in first user to be identified, and otherwise, which exists
Bad credit record.
Step S302: if it exists with bad credit record the user to be identified of target first, it is determined that target first to
Identify classification belonging to the bad credit record of user, and the classification according to belonging to bad credit record obtains each classification and corresponds to
Weight coefficient and each classification bad credit record the amount of money.
In embodiments of the present invention, that the first user to be identified with bad credit record is known as target first is to be identified
User.Classification belonging to bad credit record can be the classifications such as housing loan, vehicle loan, also can according to need and be divided into other classes
Not.Each classification has the corresponding weight coefficient pre-set, can the acquisition of the classification according to belonging to bad credit record
The corresponding weight coefficient of each classification.This in bad credit record trades overdue non-repayment amount as the bad credit record
The amount of money is added the amount of money of the bad credit record in the corresponding bad credit record of each classification to obtain the bad of each classification
The amount of money of credit record.
Step S303: it is obtained according to the amount of money of the corresponding weight coefficient of each classification and the bad credit record of each classification
The total amount of the bad credit record of the user to be identified of target first.
In embodiments of the present invention, the amount of money of the corresponding weight coefficient of a certain classification and the bad credit record of the category
Product is the total amount of the bad credit record of the category, and the bad credit of each classification of the user to be identified of target first is remembered
The total amount of record is added to obtain the total amount of the bad credit record of the user to be identified of target first.
Step S304: the total amount traded in the credit record of the user to be identified of target first is obtained.
In embodiments of the present invention, by the amount of money of this transaction in every credit record of the user to be identified of target first
Addition obtains the total amount traded in the credit record of the user to be identified of target first.
Step S305: according to the total amount traded in the total amount of bad credit record and credit record, target is determined
The credit value of one user to be identified.
In embodiments of the present invention, during the total amount that the total amount traded in credit record subtracts bad credit record obtains
Between be worth, the ratio for the total amount traded in median and credit record is the credit value of the user to be identified of target first.
As further embodiment of this invention, the first user information set of several first users to be identified is obtained, comprising:
Directly acquire the first user information set of the several first users to be identified；Or, obtaining each first use to be identified
The contract mark for the contract that family is signed searches the contract mark pair for the contract that each first user to be identified signs from database
The user information answered obtains the first user information set.
In embodiments of the present invention, terminal device can directly acquire the first user information of the several first users to be identified
Set, can also the contract mark of contract signed of each first user to be identified, then search from database each first to
It identifies that the contract for the contract that user signs identifies corresponding user information, obtains the first user information set.Wherein, contract identifies
It can be first user's processes financial business to be identified, such as when lending and borrowing business, the contract number of the contract of signing.
The embodiment of the present invention can also monitor each face identification mission in real time, such as record each recognition of face
At the beginning of task, the end time, record the information such as success rate, failure rate of face identification mission.
The embodiment of the present invention can simplify the docking mode of recognition of face task Yu other tasks to the maximum extent, new when having
When recognition of face task, it is ensured that quickly access.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Fig. 4 be one embodiment of the invention provide face identification system schematic block diagram, for ease of description, only show with
The relevant part of the embodiment of the present invention.
In embodiments of the present invention, face identification system 4 includes:
User profile acquisition module 41, for obtaining the first user information set of the several first users to be identified, first
User information set includes the User Identity, the first photo and the second photo of the several first users to be identified, wherein first
Photo is the human face photo for the several first users to be identified being taken on site, and the second photo be live shooting several first wait know
The identity card picture of other user；
Credit record obtains module 42, and the credit for obtaining the several first users to be identified according to User Identity is remembered
It records, and determines the credit value of the several first users to be identified according to credit record；
Screening module 43 is more than default prestige for from the several first users to be identified, filtering out corresponding credit value
Several second users to be identified of threshold value；
Third photo obtains module 44, for obtaining the third photo of each second user to be identified, wherein third photo
For the photo on the identity card of each second user to be identified saved in public security system；
Contrast module 45, for carrying out pair the first photo, the second photo, third photo of each second user to be identified
Than obtaining the face recognition result of each second user to be identified.
Optionally, contrast module 45 includes:
First comparison unit is obtained for comparing the second photo of each second user to be identified and third photo
First to each second user to be identified compares score value；
Comparing unit, for comparing the first comparison score value of each second user to be identified with default comparison threshold value
Compared with；
Second comparison unit, for the if it exists first comparison score value be greater than or equal to the target second of default comparison threshold value to
It identifies user, then compares the first photo of the user to be identified of target second and the second photo, or, by target second wait know
The first photo and third photo of other user compares, and obtains the second comparison score value of the user to be identified of target second；
Recognition result confirmation unit is preset if the second comparison score value for the user to be identified of target second is greater than or equal to
Comparison threshold value, then the face recognition result of the user to be identified of target second is to identify successfully, otherwise the user to be identified of target second
Face recognition result be recognition failures.
Optionally, contrast module 45 further include:
Transmission unit shines if the face recognition result for the user to be identified of target second is recognition failures by first
Piece, the second photo, third photo, the first comparison score value and the second comparison score value are sent to display terminal, so that display terminal mentions
The auditor that wakes up compares the first photo, the second photo and third photo, and obtains final comparing result；
Receiving unit, for receiving the final comparing result of display terminal transmission, and using final comparing result as target
The final face recognition result of second user to be identified.
Optionally, credit record obtains module 42 further include:
First determination unit, for determining whether each first user to be identified there is bad credit to remember according to credit record
Record；
Second determination unit, for if it exists with the user to be identified of target first of bad credit record, it is determined that mesh
Classification belonging to the bad credit record of the first user to be identified is marked, and the classification according to belonging to bad credit record obtains each
The amount of money of the corresponding weight coefficient of classification and the bad credit record of each classification；
Computing unit, for the amount of money according to the corresponding weight coefficient of each classification and the bad credit record of each classification
Obtain the total amount of the bad credit record of the user to be identified of target first；
First acquisition unit, the total amount traded in the credit record for obtaining the user to be identified of target first；
Third determination unit, the total amount for trading in the total amount and credit record according to bad credit record, really
Set the goal the credit value of the first user to be identified.
Optionally, User profile acquisition module 41 further include:
Second acquisition unit, for directly acquiring the first user information set of the several first users to be identified；Or,
Third acquiring unit, for obtaining the contract mark for the contract that each first user to be identified signs, from database
The middle contract for searching the contract that each first user to be identified signs identifies corresponding user information, obtains the first user information collection
It closes.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of the face identification system is divided into different functional unit or module, with
Complete all or part of function described above.Each functional unit in embodiment, module can integrate single in a processing
In member, it is also possible to each unit and physically exists alone, can also be integrated in one unit with two or more units, on
It states integrated unit both and can take the form of hardware realization, can also realize in the form of software functional units.In addition, each
Functional unit, module specific name be also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.On
The specific work process for stating unit in device, module, can refer to corresponding processes in the foregoing method embodiment, no longer superfluous herein
It states.
Fig. 5 is the schematic block diagram for the terminal device that one embodiment of the invention provides.As shown in figure 5, the terminal of the embodiment
Equipment 5 includes: one or more processors 50, memory 51 and is stored in the memory 51 and can be in the processor
The computer program 52 run on 50.The processor 50 realizes above-mentioned each recognition of face when executing the computer program 52
Step in embodiment of the method, such as step S101 to S105 shown in FIG. 1.Alternatively, the processor 50 executes the calculating
The function of each module/unit in above-mentioned face identification system embodiment, such as module 41 to 45 shown in Fig. 4 are realized when machine program 52
Function.
Illustratively, the computer program 52 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 51, and are executed by the processor 50, to complete the application.Described one
A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for
Implementation procedure of the computer program 52 in the terminal device 5 is described.For example, the computer program 52 can be divided
It is cut into User profile acquisition module, credit record obtains module, screening module, third photo obtain module and contrast module.
User profile acquisition module, for obtaining the first user information set of the several first users to be identified, first is used
Family information aggregate includes the User Identity, the first photo and the second photo of the several first users to be identified, wherein first shines
Piece is the human face photo for the several first users to be identified being taken on site, and the second photo be the several first to be identified of live shooting
The identity card picture of user；
Credit record obtains module, and the credit for obtaining the several first users to be identified according to User Identity is remembered
It records, and determines the credit value of the several first users to be identified according to credit record；
Screening module is more than default prestige threshold for from the several first users to be identified, filtering out corresponding credit value
Several second users to be identified of value；
Third photo obtains module, and for obtaining the third photo of each second user to be identified, wherein third photo is
Photo on the identity card of each second user to be identified saved in public security system；
Contrast module, for carrying out pair the first photo, the second photo, third photo of each second user to be identified
Than obtaining the face recognition result of each second user to be identified.
Other modules or unit can refer to the description in embodiment shown in Fig. 4, and details are not described herein.
The terminal device can be desktop PC, notebook, palm PC and cloud server etc. and calculate equipment.
The terminal device 5 includes but are not limited to processor 50, memory 51.It will be understood by those skilled in the art that Fig. 5 is only
One example of terminal device, does not constitute the restriction to terminal device 5, may include components more more or fewer than diagram,
Perhaps combine certain components or different components, for example, the terminal device 5 can also include input equipment, output equipment,
Network access equipment, bus etc..
The processor 50 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 51 can be the internal storage unit of the terminal device, such as the hard disk or interior of terminal device
It deposits.What the memory 51 was also possible to be equipped on the External memory equipment of the terminal device, such as the terminal device inserts
Connect formula hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash memory
Block (Flash Card) etc..Further, the memory 51 can also both include the internal storage unit of terminal device or wrap
Include External memory equipment.The memory 51 is for storing needed for the computer program 52 and the terminal device other
Program and data.The memory 51 can be also used for temporarily storing the data that has exported or will export.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
Scope of the present application.
In embodiment provided herein, it should be understood that disclosed face identification system and method, Ke Yitong
Other modes are crossed to realize.For example, face identification system embodiment described above is only schematical, for example, described
The division of module or unit, only a kind of logical function partition, there may be another division manner in actual implementation, such as more
A unit or assembly can be combined or can be integrated into another system, or some features can be ignored or not executed.It is another
Point, shown or discussed mutual coupling or direct-coupling or communication connection can be through some interfaces, device or
The INDIRECT COUPLING or communication connection of unit can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or
In use, can store in a computer readable storage medium.Based on this understanding, the application realizes above-mentioned implementation
All or part of the process in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program generation
Code can be source code form, object identification code form, executable file or certain intermediate forms etc..The computer-readable medium
It may include: any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic that can carry the computer program code
Dish, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that described
The content that computer-readable medium includes can carry out increasing appropriate according to the requirement made laws in jurisdiction with patent practice
Subtract, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium do not include be electric carrier signal and
Telecommunication signal.
Embodiment described above is only to illustrate the technical solution of the application, rather than its limitations；Although referring to aforementioned reality
Example is applied the application is described in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution should all
Comprising within the scope of protection of this application.
Claims (10)
1. a kind of face identification method characterized by comprising
The first user information set of the several first users to be identified is obtained, the first user information set includes described several
User Identity, the first photo and the second photo of first user to be identified, wherein first photo is to be taken on site
The human face photo of several first users to be identified, second photo are the identity for the several first users to be identified being taken on site
License piece；
The credit record of several first users to be identified is obtained according to the User Identity, and is remembered according to the credit
Record determines the credit value of several first users to be identified；
From several first users to be identified, filter out corresponding credit value be more than default prestige threshold value several second to
Identify user；
Obtain the third photo of each second user to be identified, wherein the third photo be each second user to be identified
The photo on identity card saved in public security system；
The first photo, the second photo, third photo of each second user to be identified are compared, obtain each second wait know
The face recognition result of other user.
2. face identification method according to claim 1, which is characterized in that described by the of each second user to be identified
One photo, the second photo, third photo compare, and obtain the face recognition result of each second user to be identified, comprising:
The second photo of each second user to be identified and third photo are compared, obtain each second user's to be identified
First comparison score value；
The first comparison score value of each second user to be identified is compared with default comparison threshold value；
The first comparison score value is greater than or equal to the user to be identified of target second of the default comparison threshold value if it exists, then will be described
The first photo and the second photo of the user to be identified of target second compares, or, by the target second user's to be identified
First photo and third photo compare, and obtain the second comparison score value of the target second user to be identified；
If the second comparison score value of the target second user to be identified is greater than or equal to the default comparison threshold value, the mesh
The face recognition result for marking the second user to be identified is to identify successfully, the otherwise recognition of face of the target second user to be identified
It as a result is recognition failures.
3. face identification method according to claim 2, which is characterized in that further include:
If the face recognition result of the target second user to be identified is recognition failures, by first photo, described the
Two photos, the third photo, the first comparison score value and the second comparison score value are sent to display terminal, so that described
Display terminal reminds auditor to compare first photo, second photo and the third photo, and obtains
Final comparing result；
Receive the final comparing result that the display terminal is sent, and using the final comparing result as the target the
The final face recognition result of two users to be identified.
4. face identification method according to claim 1, which is characterized in that described according to credit record determination
The credit value of several first users to be identified, comprising:
Determine whether each first user to be identified has bad credit record according to the credit record；
If it exists with the user to be identified of target first of bad credit record, it is determined that the target first user's to be identified
Classification belonging to bad credit record, and the classification according to belonging to the bad credit record obtains the corresponding weight of each classification
The amount of money of coefficient and the bad credit record of each classification；
The target first is obtained according to the amount of money of the corresponding weight coefficient of each classification and the bad credit record of each classification
The total amount of the bad credit record of user to be identified；
Obtain the total amount traded in the credit record of the target first user to be identified；
According to the total amount traded in the total amount of the bad credit record and the credit record, the target first is determined
The credit value of user to be identified.
5. face identification method according to claim 1, which is characterized in that described to obtain several first users' to be identified
First user information set, comprising:
Directly acquire the first user information set of several first users to be identified；Or,
The contract mark for obtaining the contract that each first user to be identified signs, searches each first use to be identified from database
The contract for the contract that family is signed identifies corresponding user information, obtains the first user information set.
6. a kind of face identification system characterized by comprising
User profile acquisition module, for obtaining the first user information set of the several first users to be identified, described first is used
Family information aggregate includes User Identity, the first photo and the second photo of several first users to be identified, wherein institute
The human face photo that the first photo is the several first users to be identified being taken on site is stated, if second photo is to be taken on site
The identity card picture of dry first user to be identified；
Credit record obtains module, for obtaining the credit of several first users to be identified according to the User Identity
It records, and determines the credit value of several first users to be identified according to the credit record；
Screening module is more than default prestige threshold for from several first users to be identified, filtering out corresponding credit value
Several second users to be identified of value；
Third photo obtains module, for obtaining the third photo of each second user to be identified, wherein the third photo is
Photo on the identity card of each second user to be identified saved in public security system；
Contrast module is obtained for comparing the first photo, the second photo, third photo of each second user to be identified
To the face recognition result of each second user to be identified.
7. face identification system as claimed in claim 6, which is characterized in that the contrast module includes:
First comparison unit obtains every for comparing the second photo of each second user to be identified and third photo
The first comparison score value of a second user to be identified；
Comparing unit, for the first comparison score value of each second user to be identified to be compared with default comparison threshold value；
Second comparison unit, for if it exists first comparison score value be greater than or equal to the default comparison threshold value target second to
It identifies user, then compares the first photo of the target second user to be identified and the second photo, or, by the target
The first photo and third photo of second user to be identified compares, and obtains second pair of the target second user to be identified
Compare score value；
Recognition result confirmation unit, if the second comparison score value for the target second user to be identified is more than or equal to described
Default comparison threshold value, then the face recognition result of the target second user to be identified is to identify successfully, otherwise the target the
The face recognition result of two users to be identified is recognition failures.
8. face identification system as claimed in claim 7, which is characterized in that the contrast module further include:
Transmission unit, if the face recognition result for the target second user to be identified is recognition failures, by described the
One photo, second photo, the third photo, the first comparison score value and the second comparison score value are sent to display
Terminal so that the display terminal remind auditor by first photo, second photo and the third photo into
Row comparison, and obtain final comparing result；
Receiving unit, the final comparing result sent for receiving the display terminal, and by the final comparing result
Final face recognition result as the target second user to be identified.
9. a kind of terminal device, including memory, processor and storage are in the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 5 when executing the computer program
The step of any one face identification method.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey
Sequence realizes the recognition of face as described in any one of claim 1 to 5 when the computer program is executed by one or more processors
The step of method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810668961.8A CN108960111B (en) | 2018-06-26 | 2018-06-26 | Face recognition method, face recognition system and terminal equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810668961.8A CN108960111B (en) | 2018-06-26 | 2018-06-26 | Face recognition method, face recognition system and terminal equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108960111A true CN108960111A (en) | 2018-12-07 |
| CN108960111B CN108960111B (en) | 2020-11-13 |
Family
ID=64486702
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810668961.8A Expired - Fee Related CN108960111B (en) | 2018-06-26 | 2018-06-26 | Face recognition method, face recognition system and terminal equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108960111B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109711298A (en) * | 2018-12-14 | 2019-05-03 | 南京甄视智能科技有限公司 | The method and system of efficient face characteristic value retrieval based on faiss |
| CN111932270A (en) * | 2020-08-12 | 2020-11-13 | 中国银行股份有限公司 | Method and device for bank customer identity verification |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102801528A (en) * | 2012-08-17 | 2012-11-28 | 珠海市载舟软件技术有限公司 | Authentication system and method based on intelligent mobile communication equipment |
| CN107292150A (en) * | 2016-04-13 | 2017-10-24 | 平安科技（深圳）有限公司 | Save user identification confirmation method and apparatus in information processing from damage |
| CN107808118A (en) * | 2017-09-28 | 2018-03-16 | 平安科技（深圳）有限公司 | Personal identification method, electronic installation and computer-readable recording medium |
| CN108053310A (en) * | 2017-11-24 | 2018-05-18 | 深圳市牛鼎丰科技有限公司 | Credit scoring method, apparatus, computer equipment and storage medium |
-
2018
- 2018-06-26 CN CN201810668961.8A patent/CN108960111B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102801528A (en) * | 2012-08-17 | 2012-11-28 | 珠海市载舟软件技术有限公司 | Authentication system and method based on intelligent mobile communication equipment |
| CN107292150A (en) * | 2016-04-13 | 2017-10-24 | 平安科技（深圳）有限公司 | Save user identification confirmation method and apparatus in information processing from damage |
| CN107808118A (en) * | 2017-09-28 | 2018-03-16 | 平安科技（深圳）有限公司 | Personal identification method, electronic installation and computer-readable recording medium |
| CN108053310A (en) * | 2017-11-24 | 2018-05-18 | 深圳市牛鼎丰科技有限公司 | Credit scoring method, apparatus, computer equipment and storage medium |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109711298A (en) * | 2018-12-14 | 2019-05-03 | 南京甄视智能科技有限公司 | The method and system of efficient face characteristic value retrieval based on faiss |
| CN109711298B (en) * | 2018-12-14 | 2021-02-12 | 南京甄视智能科技有限公司 | Method and system for efficient face characteristic value retrieval based on faiss |
| CN111932270A (en) * | 2020-08-12 | 2020-11-13 | 中国银行股份有限公司 | Method and device for bank customer identity verification |
| CN111932270B (en) * | 2020-08-12 | 2023-08-18 | 中国银行股份有限公司 | Bank customer identity verification method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108960111B (en) | 2020-11-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107657525A (en) | One kind loan measures and procedures for the examination and approval and server | |
| CN107679613A (en) | A kind of statistical method of personal information, device, terminal device and storage medium | |
| US20040225473A1 (en) | Fraud score calculating program, method of calculating fraud score, and fraud score calculating system for credit cards | |
| CN109345375A (en) | A kind of suspicious money laundering Activity recognition method and device | |
| CN110610431A (en) | Intelligent claim settlement method and intelligent claim settlement system based on big data | |
| CN109919624A (en) | A kind of net loan fraud clique's identification and method for early warning based on space-time centrality | |
| CN109345380A (en) | Risk control platform construction method and system | |
| CN110443120A (en) | A kind of face identification method and equipment | |
| CN111709756A (en) | Method and device for identifying suspicious communities, storage medium and computer equipment | |
| CN109544364B (en) | Data analysis-based illegal behavior detection method, device and terminal | |
| CN110609908A (en) | Case serial-parallel method and device | |
| CN112801498A (en) | Risk identification model training method, risk identification device and risk identification equipment | |
| CN109885597A (en) | Tenant group processing method, device and electric terminal based on machine learning | |
| CN111428217A (en) | Method and device for identifying cheat group, electronic equipment and computer readable storage medium | |
| CN108960111A (en) | Face identification method, system and terminal device | |
| CN109559218A (en) | A kind of determination method, apparatus traded extremely and storage medium | |
| CN113792089A (en) | Illegal behavior detection method, device, equipment and medium based on artificial intelligence | |
| CN109559242A (en) | Processing method, device, equipment and the computer readable storage medium of abnormal data | |
| CN111861715A (en) | Credit data processing method, device, equipment and storage medium | |
| CN114139931A (en) | Enterprise data evaluation method and device, computer equipment and storage medium | |
| CN110706111B (en) | Method and device for identifying suspicious transaction account, storage medium and server | |
| CN112580531A (en) | Method and system for identifying and detecting true and false license plates | |
| CN110942066A (en) | Bill checking method and device | |
| CN110246025A (en) | Antifraud method based on user information, system, terminal device | |
| CN110570301B (en) | Risk identification method, device, equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: Room 201, Building A, No. 1 Qianwan Road, Qianhai Shenzhen-Hong Kong Cooperation Zone, Shenzhen, Guangdong 518000:No. 1701, 1702B, A, New Hao one town, No. 7018 Cai Tian Road, Futian, Shenzhen 518000 Room 201, No. 1 A (Qianhai business secretary, Shenzhen, Shenzhen City, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen City, Guangdong) Applicant after: Shenzhen Rongyimai Information Technology Co.,Ltd. Address before: Room 201, Building A, No. 1 Qianwan Road, Qianhai Shenzhen-Hong Kong Cooperation Zone, Shenzhen, Guangdong 518000:No. 1701, 1702B, A, New Hao one town, No. 7018 Cai Tian Road, Futian, Shenzhen 518000 Room 201, No. 1 A (Qianhai business secretary, Shenzhen, Shenzhen City, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen City, Guangdong) Applicant before: SHENZHEN MAIMAITI INFORMATION TECHNOLOGY Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20201113 |