CN110009515A - Document method of calibration, device, server and medium based on recognition of face - Google Patents
Document method of calibration, device, server and medium based on recognition of face Download PDFInfo
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- CN110009515A CN110009515A CN201910187621.8A CN201910187621A CN110009515A CN 110009515 A CN110009515 A CN 110009515A CN 201910187621 A CN201910187621 A CN 201910187621A CN 110009515 A CN110009515 A CN 110009515A
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- 238000000034 method Methods 0.000 title claims abstract description 63
- 238000012360 testing method Methods 0.000 claims abstract description 49
- 230000002159 abnormal effect Effects 0.000 claims abstract description 36
- 230000014509 gene expression Effects 0.000 claims description 29
- 238000001514 detection method Methods 0.000 claims description 19
- 230000005856 abnormality Effects 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 6
- 238000004422 calculation algorithm Methods 0.000 claims description 4
- 238000012795 verification Methods 0.000 abstract description 9
- 230000001815 facial effect Effects 0.000 description 30
- 238000010586 diagram Methods 0.000 description 8
- 238000012545 processing Methods 0.000 description 5
- 241000557624 Nucifraga Species 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 210000003811 finger Anatomy 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 230000008921 facial expression Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000011521 glass Substances 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
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- 238000011160 research Methods 0.000 description 1
- 210000003813 thumb Anatomy 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
-
- 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
- G06V40/12—Fingerprints or palmprints
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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
-
- 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
- G06V40/18—Eye characteristics, e.g. of the iris
Abstract
The embodiment of the invention discloses a kind of document method of calibration, device and server based on recognition of face, wherein this method comprises: receiving the approval request instruction for document of user's input；The corresponding Testing index of document is detected with the presence or absence of exception, determines there is the quantity of abnormal Testing index in document, and the identity characteristic data that user needs to upload, the identity characteristic data that reception user uploads are determined according to the quantity of abnormal Testing index；Whether the identity characteristic data for judging that user uploads match with preset identity characteristic data；If matching, server examine document.By implementing the above method, the verification mode of the server complexity different to different user settings can ensure the authenticity for the document that user submits in document approval process on line, guarantee the safety of approval process on line.
Description
Technical field
This application involves field of computer technology more particularly to a kind of document method of calibration based on recognition of face, device,
Server and medium.
Background technique
Document, be economic work occur when it is acquired or fill and present, state clearly transaction, the written card of item actual conditions
Bright, it is the firsthand information and important evidence for carrying out accounting, handles a kind of foundation of the payment of delivery and the payment for goods of cargo,
Document may indicate that whether exporter honours an agreement, degree honoured an agreement etc..
In some cases, user needs to modify to certain documents (such as declaration form), then needs the corresponding user of document
Identity verification is carried out to designated place, and carries out a series of cumbersome approval processes, examines low efficiency, therefore, how by document
Approval process run on line and the authenticity of guarantee document is a problem to be solved.
Summary of the invention
The embodiment of the present application provides a kind of document method of calibration, device, server and medium based on recognition of face, can be with
Ensure the authenticity of document in document approval process on line, promotes the safety of document approval process.
In a first aspect, the embodiment of the invention provides a kind of document method of calibration based on recognition of face, the method packet
It includes:
The approval request for document for receiving user's input instructs；
The corresponding Testing index of the document is detected, and determines and there is abnormal Testing index in the document
Quantity；
The identity characteristic data that user needs to upload are determined according to the quantity, and the identity characteristic data include face number
According at least one of, finger print data and iris data；
Receive the identity characteristic data that the user uploads；
Whether the identity characteristic data for judging that the user uploads match with preset identity characteristic data；
If the identity characteristic data that the user uploads match with the preset identity characteristic data, to the document
It is examined.
Second aspect, the embodiment of the invention provides a kind of document calibration equipment based on recognition of face, described device packet
It includes:
Receiving module, the approval request for document for receiving user's input instruct；
Detection module, for being detected to the corresponding Testing index of the document；
Determining module, for determining the quantity that there is abnormal Testing index in the document；
The determining module is also used to determine the identity characteristic data that user needs to upload, the body according to the quantity
Part characteristic includes at least one of human face data, finger print data and iris data；
The receiving module is also used to receive the identity characteristic data that the user uploads；
Judgment module, for judge identity characteristic data that the user uploads whether with preset identity characteristic data phase
Match；
Approval module, if the identity characteristic data and the preset identity characteristic data phase that are uploaded for the user
Match, then the document is examined.
The third aspect, the embodiment of the invention provides a kind of server, including processor, input equipment, output equipment and
Memory, the processor, input equipment, output equipment and memory are connected with each other, wherein the memory is based on storing
Calculation machine program, the computer program include program instruction, and the processor is configured for calling described program instruction, are executed
Method described in first aspect.
Fourth aspect, the embodiment of the invention provides a kind of computer readable storage mediums, which is characterized in that the calculating
Machine readable storage medium storing program for executing is stored with computer program, and the computer program includes program instruction, and described program instruction, which is worked as, to be located
Reason device makes the processor execute method described in first aspect when executing.
In the embodiment of the present invention, the approval request for document that server receives user's input is instructed；Detect document pair
The Testing index answered determines there is the quantity of abnormal Testing index in document with the presence or absence of exception, and according to abnormal detection
The quantity of index determines the identity characteristic data that user needs to upload, and receives the identity characteristic data that user uploads；Judge user
Whether the identity characteristic data of upload match with preset identity characteristic data；If matching, server examine document.
By implementing the above method, the verification mode of the server complexity different to different user settings can document on line
Ensure the authenticity for the document that user submits in approval process, guarantees the safety of approval process on line.
Detailed description of the invention
Technical solution in order to illustrate the embodiments of the present invention more clearly, below will be to needed in embodiment description
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of flow diagram of document method of calibration based on recognition of face provided in an embodiment of the present invention；
Fig. 2 is the flow diagram of another document method of calibration based on recognition of face provided in an embodiment of the present invention；
Fig. 3 is a kind of structural schematic diagram of document calibration equipment based on recognition of face provided in an embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of server provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Fig. 1 is a kind of flow diagram of the document verification based on recognition of face in the embodiment of the present invention.As shown in the figure originally
The process of the document method of calibration based on recognition of face in embodiment may include:
The approval request for document that S101, server receive user's input instructs.
In the embodiment of the present invention, document can be vehicle insurance declaration form, can be had after car owner buys car insurance success
One insurance policy, i.e. vehicle insurance declaration form include owner name, contact method, coverage, insurance money in the document of vehicle insurance declaration form
The information such as volume, license plate number.When user needs to change car owner, increases or decreases the behaviors such as insurance money, need to protect to vehicle
Dangerous company's presentation of documents approval request, so that vehicle insurance company examines the document, in the specific implementation, user can be in client
The car insurance document number examined is inputted in the specified page at end, alternatively, the identification card number of user can also be inputted
Code, name etc., client generate document approval request according to above- mentioned information and instruct, and server inputs the user that client is sent
For document approval request instruction received.Wherein, client can be mobile phone, computer, tablet computer etc., server
The information carried in being instructed according to approval request determines the information for the document that user is examined.
S102, server detect the corresponding Testing index of document, and determine in document that there is abnormal detection refers to
Target quantity.
In the embodiment of the present invention, document be vehicle insurance declaration form, corresponding Testing index include vehicle historical failure number index,
Vehicle historical failure time index and vehicle history pay for insurance money volume index.The document examination & approval that server receives user's input are asked
After asking instruction, if the vehicle insurance number of policy that examination & approval instruction carries is correct vehicle insurance number of policy, server can be in database
The middle information inquired the examination & approval and instruct corresponding vehicle insurance declaration form, wherein include that vehicle insurance declaration form is corresponding in the information of vehicle insurance declaration form
The insured amount of money of vehicle, the identity information of user, historical failure information, history indemnity etc..
Further, after server gets the corresponding document information of examination & approval instruction, it will test the corresponding detection of document
Index is with the presence or absence of abnormal, wherein Testing index include vehicle historical failure number index, vehicle historical failure time index with
And vehicle history pays for insurance money volume index.
In one implementation, server obtains the historical failure number of vehicle in vehicle insurance declaration form, and detects vehicle insurance guarantor
Whether single corresponding vehicle historical failure number is greater than preset times, if so, determining all previous number of stoppages Indexes Abnormality of vehicle.
Wherein, preset times can be determined by the insured amount of money of vehicle, for example, if the insured amount of money of vehicle less than the first preset cost,
Preset times can be 5 times, if the insured amount of money of vehicle between the first preset cost and the second preset cost, preset times
It can be 7 times, if the insured amount of money of vehicle is greater than the second preset cost, then preset times can be 10 times, wherein the first default gold
Less than the second preset cost, the corresponding relationship of the insured amount of money and preset times can also be preset volume by research staff.Alternatively,
Preset times can also be determined by type of vehicle, for example, the corresponding preset times of vehicle 1 are 5 times, vehicle 2 is corresponding default
Number is 10 inferior, and various can also correspond to identical preset times.
In one implementation, server obtains the time of the corresponding each failure of vehicle of vehicle insurance declaration form, and detects vehicle
Whether the corresponding vehicle historical failure time interval of dangerous declaration form is less than preset duration, if so, determining the vehicle historical failure time
Indexes Abnormality.Specifically, preset duration can there are corresponding relationships with the insured amount of money or type of vehicle, it can also be by researching and developing people
Member presets.
In one implementation, the history that server obtains the corresponding vehicle of vehicle insurance declaration form pays for insurance money volume and vehicle
The insured amount of money, if the history of vehicle pays for insurance money volume and the ratio of the insured amount of money is greater than default ratio, it is determined that the history of the vehicle
Pay for insurance money volume Indexes Abnormality.Wherein, history, which pays for insurance money volume, can pay for insurance money volume, i.e. the compensation insurance money of primary fault if it exists for single
The ratio of volume and the insured amount of money is greater than default ratio, it is determined that history pays for insurance money volume Indexes Abnormality.Alternatively, history pays for insurance money volume
Can be the summation of the compensation insurance money volume in preset time period, even in preset time period the compensation insurance money volume summation of the vehicle with it is insured
The ratio of the amount of money is greater than default ratio, it is determined that vehicle history pays for insurance money volume Indexes Abnormality.Server refers to the detection in document
After mark is detected, the quantity that there is abnormal Testing index in document will be determined.
S103, server determine identity characteristic number that user needs to upload according to the quantity that there is abnormal Testing index
According to.
It, will be according to the quantity after server determines the quantity of Testing index abnormal in document in the embodiment of the present invention
Determine the identity characteristic data that user needs to upload.Wherein, identity characteristic data include human face data, finger print data and iris number
At least one of according to, specifically, if the quantity of abnormality detection index is less than preset quantity, it is determined that user needs the body uploaded
Part characteristic is human face data；If the quantity of abnormality detection index is equal to preset quantity, it is determined that user needs the body uploaded
Part characteristic is human face data and finger print data；If the quantity of abnormality detection index is greater than preset quantity, it is determined that user
The identity characteristic data for needing to upload are human face data, finger print data and iris data.Wherein, preset quantity can be by researching and developing people
Member presets, and human face data can be facial image, and finger print data can be fingerprint image, and iris data can be iris figure
Picture.
It should be noted that the identity data that uploads of user insured artificially input the examination & approval and refers to for determining that document is corresponding
The user of order, the document more for abnormal index need user to upload more detailed identity characteristic data to determine the document
The identity information of corresponding user is errorless.
S104, server receive the identity characteristic data that user uploads.
It, will be to the visitor of user after server determines that user needs the identity characteristic data that upload in the embodiment of the present invention
Family end sends identity information acquisition instruction, and user can be believed according to the content in instruction by the identity that client uploads itself
Breath.
In a kind of specific implementation scene, server determines that the corresponding document of document number that user uploads includes 1 exception
Index, then server sends face data acquisition request to user, which can be a two-dimensional code data, and user is using visitor
Family end identifies the two dimensional code in figure, can open camera and obtain image, and image is uploaded to server.
Whether the identity characteristic data that S105, server judge that user uploads match with preset identity characteristic data.
It, will be to the body received after server receives the identity characteristic data of user's upload in the embodiment of the present invention
Part characteristic is verified, in the specific implementation, server judge user's upload identity characteristic data whether with preset identity
Characteristic matches.Wherein, preset identity characteristic data include facial image (such as card that user uploads when handling the document
Part photograph), fingerprint image and iris image, server the user can be handled to facial image, the fingerprint image uploaded when document
Database is stored in as the corresponding target facial image of the document, target fingerprint image and target iris image with iris image
In.
In one implementation, the quantity of abnormality detection index is less than preset quantity in document, then server receives
User upload data be facial image, server detect user upload facial image target face corresponding with the document
Whether image matches.Specifically, server can calculate the facial image of user's upload and the similarity of target facial image,
If similarity is greater than default similarity, the facial image that server determines that user uploads matches with target facial image, i.e.,
The identity characteristic data for determining that user uploads match with preset identity characteristic data.Wherein, the specific calculating of image similarity
Histogram matching, math matrix decomposition method, scale invariant feature conversion method etc. can be used in method, does not limit herein
It is fixed.Further, in order to further determine the authenticity of user identity, target facial image may be multiple different expressions
Facial image, for example, it is respectively laugh, nutcracker, the facial expression image frowned that target facial image, which is 3 expressions, then server needs
Be sequentially received user upload expression be laugh, nutcracker, the facial image frowned, and facial image and target facial image all
When matching, it is determined that the identity characteristic data that user uploads match with preset identity characteristic data, and execute step S106,
The expression sequence and target person of the face that user uploads if it exists and the facial image that target face is not identical or user uploads
The different situation of expression sequence of face image, it is determined that the identity characteristic data and preset identity characteristic data that user uploads are not
Match, server sends the prompt information of proof of identity failure to the client of user, and terminates this process.
In one implementation, if the quantity of the abnormality detection index in document is equal to preset quantity, server is connect
The identity characteristic data that receipts user uploads are facial image and fingerprint image, and server is in the facial image for verifying user and is somebody's turn to do
After the corresponding target facial image of document matches, by the fingerprint image mesh whether corresponding with document of further verifying user
Mark fingerprint image matches, wherein target fingerprint image can be to be multiple, for example, target fingerprint image can be hand thumb
Fingerprint image, index fingerprint image and middle finger fingerprint image, then server detects 3 fingerprint images point that user successively uploads
Not with thumbprint image, the index fingerprint image and when middle finger fingerprint image Corresponding matching in target fingerprint image, determines and use
The identity characteristic data that family uploads match with preset identity characteristic data, and execute step S106, if it exists different finger
Print image, then server sends the prompt information of proof of identity failure to the client of user, and terminates this process.
In one implementation, if the quantity of the abnormality detection index in document is greater than preset quantity, server is connect
Receiving the identity characteristic data that user uploads is facial image, fingerprint image and iris image, people of the server in verifying user
After face image and fingerprint image match with target facial image and target fingerprint image respectively, use will be further verified
The iris image at family target iris image whether corresponding with document matches, if matching, server determines what user uploaded
Identity characteristic data match with preset identity characteristic data, and execute step S106, if mismatching, to the client of user
The prompt information of proof of identity failure is sent, and terminates this process.
If the identity characteristic data that S106, user upload match with preset identity characteristic data, server is to document
It is examined.
In the embodiment of the present invention, server determines the identity characteristic data and preset identity characteristic data phase that user uploads
With later, which will be examined, i.e., user can for the document modify phase car owner, car owner's contact method, increase
The insured amount of money etc. that adds deduct less operation, server carry out identifying and storing record to the operation of user.
In the embodiment of the present invention, the approval request for document that server receives user's input is instructed；Detect document pair
The Testing index answered determines there is the quantity of abnormal Testing index in document with the presence or absence of exception, and according to abnormal detection
The quantity of index determines the identity characteristic data that user needs to upload, and receives the identity characteristic data that user uploads；Judge user
Whether the identity characteristic data of upload match with preset identity characteristic data；If matching, server examine document.
By implementing the above method, the verification mode of the server complexity different to different user settings can document on line
Ensure the authenticity for the document that user submits in approval process, guarantees the safety of approval process on line.
Fig. 2 is the flow diagram that another kind is verified based on the document of recognition of face in the embodiment of the present invention.As shown in the figure
The process of the document method of calibration based on recognition of face in the present embodiment may include:
The approval request for document that S201, server receive user's input instructs.
In the embodiment of the present invention, user inputs in specified page in the client and needs when carrying out the examination & approval of document
The document number in document examined, client generates document approval request according to the document number and instructs, and sends it to
Server, the approval request for document that server receives user's input instruct.
S202, server detect the corresponding Testing index of document, and determine in document that there is abnormal detection refers to
Target quantity.
In the embodiment of the present invention, document be vehicle insurance declaration form, corresponding Testing index include vehicle historical failure number index,
Vehicle historical failure time index and vehicle history pay for insurance money volume index.Server receives the approval request for document and refers to
After order, if the number of policy that examination & approval instruction carries is correct document number, server can inquire the examination & approval in database kind
The information of corresponding document is instructed, and detects the corresponding Testing index of the document with the presence or absence of abnormal.Server is in document
Testing index detected after, will determine there is the quantity of abnormal Testing index in document.
S203, server determine identity characteristic number that user needs to upload according to the quantity that there is abnormal Testing index
According to.
In the embodiment of the present invention, if the quantity that there is abnormal Testing index in document is less than preset quantity, it is determined that use
The identity characteristic data that family needs to upload are human face data；If the quantity that there is abnormal Testing index in document is equal to present count
Amount, it is determined that the identity characteristic data that user needs to upload are human face data and finger print data；If there is exception in document
The quantity of Testing index is greater than preset quantity, it is determined that the identity characteristic data that user needs to upload are human face data, fingerprint number
According to and iris data.Further, if the quantity that there is abnormal Testing index in document is greater than preset quantity, server can
To detect the duration of each abnormal index, duration is greater than the abnormality detection index of preset duration if it exists, then services
Device can refuse the approval request of user's input, and issue prompt information prompt user and manually examined in corresponding artificial window
Core.
S204, server receive the identity characteristic data that user uploads.
Whether the identity characteristic data that S205, server judge that user uploads match with preset identity characteristic data.
In one implementation, the identity characteristic data that user uploads are human face data (i.e. facial image), server
Receive user upload human face data after, by judge user upload human face data whether with preset identity characteristic data phase
Matching specifically, server obtains the type of document, and determines the document according to the corresponding relationship of preset type and expression
The corresponding verifying expression of type；Server obtains human face data of the user in the case where verifying expression, and will verify the face under expression
Image is determined as preset identity characteristic data, server judge facial image that user uploads whether with preset identity characteristic data
Match.Wherein, human face data of the user in the case where verifying expression can be stored in advance for user when handling document, alternatively, clothes
The facial image user images whether corresponding with declaration form that business device first verifies user's upload match, if matching, verifies user
Whether the expression of the facial image of upload is the corresponding expression of type, and the corresponding user images of declaration form are use when handling the declaration form
The image of family input.It should be noted that document can be vehicle insurance declaration form, the type of document includes full vehicle theft insurance, glass list
Only risk of breakage, the independent risk of breakage of tire rims, vehicle lay-off loss danger etc., the corresponding verifying expression of the type of document can be one
It is a, or multiple, when it is multiple for verifying expression, server needs successively to get multiple facial images of user's upload
Later, first judge whether every facial image matches with preset facial image, if matching, further verify facial image
Whether sequence is identical for expression verifying expression whether corresponding with document types, if they are the same, it is determined that the identity characteristic that user uploads
Data match with preset identity characteristic data.For example, the type of document is vehicle theft insurance, corresponding verifying expression is big
It laughs at, nutcracker, frown, user is successively uploaded after expression is laugh, nutcracker, the image frowned by client, and server then may be used
The identity characteristic data for determining that user uploads match with preset identity characteristic data.
In one implementation, the identity characteristic data that user uploads further include the character image of user, and server connects
Receive user upload the user character image after, by judge the user character image whether with preset identity characteristic number
According to matching, specifically, server obtains the amount of money that document includes, and determined according to the preset amount of money and the corresponding relationship of movement
The corresponding verifying movement of the amount of money that the document includes；Server obtains the people under the corresponding verifying movement of user's amount of money in document
Object image, and the character image under verifying movement is determined as preset identity characteristic data；Server judges the personage of user
Whether the character image under image is acted with verifying matches, if matching, server determines the identity characteristic number that user uploads
Match according to preset identity characteristic data.Wherein, character image of the user under the corresponding verifying movement of the declaration form amount of money can be with
It is stored in advance for user when handling document.There are one-to-one relationships for different amount of money ranges and verifying movement, and the amount of money is got over
Height, corresponding verifying movement are more.For example, the amount of money is less than the first preset cost in document, then corresponding verifying movement is to raise one's hand,
The amount of money is between the first preset cost and the second preset cost in document, then corresponding verifying movement is single to raise one's hand and lifting foot
It is greater than the second preset cost according to the middle amount of money, then corresponding verifying movement is to raise one's hand, lift foot and close one's eyes.
It should be noted that server judge identity characteristic data and preset identity characteristic data that user uploads whether phase
Matched concrete mode can be that server is breathed out using first that depth hash algorithm calculates the identity characteristic data that user uploads
Second cryptographic Hash of uncommon value and preset identity characteristic data；Calculate the Hamming distance between the first cryptographic Hash and the second cryptographic Hash；
If Hamming distance is less than pre-determined distance, it is determined that the human face data that user uploads matches with preset identity characteristic data.
If the identity characteristic data that S206, user upload are not matched that with preset identity characteristic data, server output
The prompt information of authentication failed, and detect the number of user's checking failure.
In the embodiment of the present invention, server detects the identity characteristic data that user uploads and preset identity characteristic data not
After matching, the number of the user's checking failure of historical record will acquire, if server detects that the user's checking fails
Number be greater than preset times, then follow the steps S207.Alternatively, the approval request that server refusal user inputs again, concurrently
Prompt information prompt user carries out manual examination and verification in corresponding artificial window out.
If the number of S207, authentication failed is greater than preset times, server no longer receives the use within a preset period of time
The document approval request instruction that family is sent.
In the embodiment of the present invention, the approval request for document that server receives user's input is instructed；Detect the list
According to corresponding Testing index with the presence or absence of exception, determine there is the quantity of abnormal Testing index in the document, and according to institute
It states quantity and determines the identity characteristic data that user needs to upload, receive the identity characteristic data that the user uploads；Described in judgement
Whether the identity characteristic data that user uploads match with preset identity characteristic data；If user upload identity characteristic data with
Preset identity characteristic data do not match that then server exports the prompt information of authentication failed, and detect user's checking failure
Number, if the number of authentication failed is greater than preset times, server no longer receives user transmission within a preset period of time
The instruction of document approval request.By the above-mentioned means, the verification mode of the server complexity different to different user settings, it can
To ensure the authenticity of document in document approval process on line, and promote document examination & approval safety, further, setting verifying
Number limitation function prevents criminal from carrying out authentication using the method for exhaustion.
The document calibration equipment provided in an embodiment of the present invention based on recognition of face is carried out below in conjunction with attached drawing 3 detailed
It introduces.It should be noted that the attached document calibration equipment shown in Fig. 3 based on recognition of face, for executing Fig. 1-Fig. 2 of the present invention
The method of illustrated embodiment, for ease of description, only parts related to embodiments of the present invention are shown, and particular technique details is not
It discloses, through referring to Fig. 1-of the present invention embodiment shown in Fig. 2.
Fig. 3 is referred to, is a kind of structural schematic diagram of the document calibration equipment based on recognition of face provided by the invention, it should
Document calibration equipment 30 based on recognition of face can include: receiving module 301, determining module 303, judges mould at detection module 302
Block 304 and approval module 305.
Receiving module 301, the approval request for document for receiving user's input instruct；
Detection module 302, for being detected to the corresponding Testing index of the document；
Determining module 302, for determining the quantity that there is abnormal Testing index in the document；
The determining module 302 is also used to determine the identity characteristic data that user needs to upload according to the quantity, described
Identity characteristic data include at least one of human face data, finger print data and iris data；
The receiving module 303 is also used to receive the identity characteristic data that the user uploads；
Judgment module 304, for judge identity characteristic data that the user uploads whether with preset identity characteristic data
Match；
Approval module 305, if the identity characteristic data and the preset identity characteristic data phase that are uploaded for the user
Matching, then examine the document.
In one implementation, the document is vehicle insurance declaration form, and the Testing index includes vehicle historical failure number
Index, vehicle historical failure time index and vehicle history pay for insurance money volume index, and the determining module 303 is specifically used for:
If the corresponding vehicle historical failure number of the document is greater than preset times, it is determined that all previous number of stoppages refers to
Mark is abnormal；
If the corresponding vehicle historical failure time interval of the document is less than preset duration, it is determined that when the historical failure
Between be spaced Indexes Abnormality；
If the ratio of the corresponding vehicle history compensation insurance money volume of document and the insured amount of money is greater than default ratio, it is determined that institute
It states history and pays for insurance money volume Indexes Abnormality；
Count the quantity that there is abnormal Testing index in the document.
In one implementation, the determining module 303, is also used to:
If the quantity is less than preset quantity, it is determined that the identity characteristic data that the user needs to upload are face number
According to；
If the quantity is equal to the preset quantity, it is determined that the identity characteristic data that the user needs to upload are face
Data and finger print data；
If the quantity is greater than the preset quantity, it is determined that the identity characteristic data that the user needs to upload are face
Data, finger print data and iris data.
In one implementation, the identity characteristic data that the user uploads include human face data, the determining module
303, it is also used to:
The type of the document is obtained, and determines the type of the document according to the corresponding relationship of preset type and expression
Corresponding verifying expression；
Human face data of the user under the verifying expression is obtained, and the human face data under the verifying expression is true
It is set to the preset identity characteristic data.
In one implementation, the identity characteristic data that the user uploads further include the character image of the user,
The determining module 303, is also used to:
The amount of money for including in the document is obtained, and the document is determined according to the corresponding relationship of the preset amount of money and movement
In include the amount of money corresponding verifying movement；
Character image of the user under verifying movement is obtained, and the character image under verifying movement is true
It is set to the preset identity characteristic data.
In one implementation, the judgment module 304, is specifically used for:
The first cryptographic Hash and preset identity of the identity characteristic data that the user uploads are calculated using depth hash algorithm
Second cryptographic Hash of characteristic；
Calculate the Hamming distance between first cryptographic Hash and second cryptographic Hash；
If the Hamming distance is less than pre-determined distance, it is determined that the identity characteristic data that the user uploads with it is described preset
Identity characteristic data match.
In one implementation, the approval module 305, is also used to:
If the identity characteristic data that the user uploads are not matched that with the preset identity characteristic data, verifying is exported
The prompt information of failure, and detect the number of the user's checking failure；
If the number is greater than preset times, the document examination & approval that the user sends no longer are received within a preset period of time
Request instruction.
In the embodiment of the present invention, the approval request for document that receiving module 301 receives user's input is instructed；Detect mould
Block 302 detects the corresponding Testing index of document with the presence or absence of exception, and determining module 303 determines in document that there is abnormal detection refers to
Target quantity, and the identity characteristic data that user needs to upload, receiving module 301 are determined according to the quantity of abnormal Testing index
Receive the identity characteristic data that user uploads；Judgment module 304 judge user upload identity characteristic data whether with stay in advance
Part characteristic matches；If matching, approval module 305 examine document.By implementing the above method, server pair
The verification mode of the different complexity of different user settings can ensure the list that user submits in document approval process on line
According to authenticity, guarantee line on approval process safety.
Fig. 4 is referred to, for the embodiment of the invention provides a kind of structural schematic diagrams of server.As shown in figure 4, the service
Device includes: at least one processor 401, input equipment 403, output equipment 404, memory 405, at least one communication bus
402.Wherein, communication bus 402 is for realizing the connection communication between these components.Wherein, input equipment 403 can be control
Panel or microphone etc., output equipment 404 can be display screen etc..Wherein, memory 405 can be high speed RAM memory,
It is also possible to non-labile memory (non-volatile memory), for example, at least a magnetic disk storage.Memory
405 optionally can also be that at least one is located remotely from the storage device of aforementioned processor 401.Wherein processor 401 can be tied
Device described in Fig. 3 is closed, batch processing code, and processor 401 are stored in memory 405, input equipment 403, output is set
The program code stored in standby 404 calling memory 405, for performing the following operations:
Input equipment 403, the approval request for document for receiving user's input instruct；
Processor 401 for detecting to the corresponding Testing index of the document, and determines that there are different in the document
The quantity of normal Testing index；
Processor 401, for determining that user needs the identity characteristic data that upload, the identity characteristic according to the quantity
Data include at least one of human face data, finger print data and iris data；
Input equipment 403, the identity characteristic data uploaded for receiving the user；
Processor 401, for judge identity characteristic data that the user uploads whether with preset identity characteristic data phase
Matching；
Processor 401, if the identity characteristic data and the preset identity characteristic data phase that are uploaded for the user
Match, then the document is examined.
In one implementation, the processor 401 is specifically used for:
If the corresponding vehicle historical failure number of the document is greater than preset times, it is determined that all previous number of stoppages refers to
Mark is abnormal；
If the corresponding vehicle historical failure time interval of the document is less than preset duration, it is determined that when the historical failure
Between be spaced Indexes Abnormality；
If the ratio of the corresponding vehicle history compensation insurance money volume of document and the insured amount of money is greater than default ratio, it is determined that institute
It states history and pays for insurance money volume Indexes Abnormality；
Count the quantity that there is abnormal Testing index in the document.
In one implementation, the processor 401 is specifically used for:
If the quantity is less than preset quantity, it is determined that the identity characteristic data that the user needs to upload are face number
According to；
If the quantity is equal to the preset quantity, it is determined that the identity characteristic data that the user needs to upload are face
Data and finger print data；
If the quantity is greater than the preset quantity, it is determined that the identity characteristic data that the user needs to upload are face
Data, finger print data and iris data.
In one implementation, the identity characteristic data that the user uploads include human face data, the processor 401
It is specifically used for:
The type of the document is obtained, and determines the type of the document according to the corresponding relationship of preset type and expression
Corresponding verifying expression；
Human face data of the user under the verifying expression is obtained, and the human face data under the verifying expression is true
It is set to the preset identity characteristic data.
In one implementation, the identity characteristic data that the user uploads further include the character image of the user,
The processor 401 is specifically used for:
The amount of money for including in the document is obtained, and the document is determined according to the corresponding relationship of the preset amount of money and movement
In include the amount of money corresponding verifying movement；
Character image of the user under verifying movement is obtained, and the character image under verifying movement is true
It is set to the preset identity characteristic data.
In one implementation, the processor 401 is specifically used for:
The first cryptographic Hash and preset identity of the identity characteristic data that the user uploads are calculated using depth hash algorithm
Second cryptographic Hash of characteristic；
Calculate the Hamming distance between first cryptographic Hash and second cryptographic Hash；
If the Hamming distance is less than pre-determined distance, it is determined that the identity characteristic data that the user uploads with it is described preset
Identity characteristic data match.
In one implementation, the processor 401 is specifically used for:
If the identity characteristic data that the user uploads are not matched that with the preset identity characteristic data, verifying is exported
The prompt information of failure, and detect the number of the user's checking failure；
If the number is greater than preset times, the document examination & approval that the user sends no longer are received within a preset period of time
Request instruction.
In the embodiment of the present invention, the approval request for document that input equipment 403 receives user's input is instructed；Processor
For the corresponding Testing index of 401 detection documents with the presence or absence of exception, processor 401, which determines, has abnormal Testing index in document
Quantity, and the identity characteristic data that user needs to upload are determined according to the quantity of abnormal Testing index, input equipment 403 receives
The identity characteristic data that user uploads；Processor 401 judge user upload identity characteristic data whether with preset identity characteristic
Data match；If matching, processor 401 examine document.By implementing the above method, server is to different use
The verification mode of different complexities is arranged in family, can ensure the true of the document that user submits in document approval process on line
Property, guarantee the safety of approval process on line.
Module described in the embodiment of the present invention can pass through universal integrated circuit, such as CPU (Central
Processing Unit, central processing unit), or pass through ASIC (Application Specific Integrated
Circuit, specific integrated circuit) Lai Shixian.
It should be appreciated that in embodiments of the present invention, alleged processor 401 can be central processing module (Central
Processing Unit, CPU), which can also be other general processors, digital signal processor (Digital
Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit,
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic
Device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor or this at
Reason device is also possible to any conventional processor etc..
It is total that bus 402 can be industry standard architecture (Industry Standard Architecture, ISA)
Line, Peripheral Component Interconnect (Peripheral Component, PCI) bus or extended industry-standard architecture (Extended
Industry Standard Architecture, EISA) bus etc., it is total which can be divided into address bus, data
Line, control bus etc., for convenient for indicating, Fig. 4 is only indicated with a thick line, it is not intended that an only bus or a seed type
Bus.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in computer readable storage medium,
The program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the computer readable storage medium
It can be magnetic disk, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random
Access Memory, RAM) etc..
The above disclosure is only the preferred embodiments of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, therefore equivalent changes made in accordance with the claims of the present invention, is still within the scope of the present invention.
Claims (10)
1. a kind of document method of calibration based on recognition of face characterized by comprising
The approval request for document for receiving user's input instructs；
The corresponding Testing index of the document is detected, and determines the number that there is abnormal Testing index in the document
Amount；
Determine that user needs the identity characteristic data that upload according to the quantity, the identity characteristic data include human face data,
At least one of finger print data and iris data；
Receive the identity characteristic data that the user uploads；
Whether the identity characteristic data for judging that the user uploads match with preset identity characteristic data；
If the identity characteristic data that the user uploads match with the preset identity characteristic data, the document is carried out
Examination & approval.
2. the Testing index includes the method according to claim 1, wherein the document is vehicle insurance declaration form
Vehicle historical failure number index, vehicle historical failure time index and vehicle history pay for insurance money volume index, the determining institute
State the quantity that there is abnormal Testing index in document, comprising:
If the corresponding vehicle historical failure number of the document is greater than preset times, it is determined that all previous number of stoppages index is different
Often；
If the corresponding vehicle historical failure time interval of the document is less than preset duration, it is determined that between the historical failure time
Every Indexes Abnormality；
If the ratio of the corresponding vehicle history compensation insurance money volume of document and the insured amount of money is greater than default ratio, it is determined that described to go through
History pays for insurance money volume Indexes Abnormality；
Count the quantity that there is abnormal Testing index in the document.
3. the method according to claim 1, wherein the body for determining that user needs to upload according to the quantity
Part characteristic, comprising:
If the quantity is less than preset quantity, it is determined that the identity characteristic data that the user needs to upload are human face data；
If the quantity is equal to the preset quantity, it is determined that the identity characteristic data that the user needs to upload are human face data
And finger print data；
If the quantity is greater than the preset quantity, it is determined that the identity characteristic data that the user needs to upload are face number
According to, finger print data and iris data.
4. method according to claim 1-3, which is characterized in that the identity characteristic data packet that the user uploads
Include human face data；
Before whether the identity characteristic data for judging that the user uploads match with preset identity characteristic data, the side
Method further include:
The type of the document is obtained, and determines that the type of the document is corresponding with the corresponding relationship of expression according to preset type
Verifying expression；
Human face data of the user under the verifying expression is obtained, and the human face data under the verifying expression is determined as
The preset identity characteristic data.
5. method according to claim 1-3, which is characterized in that the identity characteristic data that the user uploads are also
Character image including the user；
Before whether the identity characteristic data for judging that the user uploads match with preset identity characteristic data, the side
Method further include:
The amount of money for including in the document is obtained, and is determined in the document and is wrapped according to the corresponding relationship of the preset amount of money and movement
The corresponding verifying movement of the amount of money included；
Character image of the user under verifying movement is obtained, and the character image under verifying movement is determined as
The preset identity characteristic data.
6. the method according to claim 1, wherein the identity characteristic data that the judgement user uploads are
It is no to match with preset identity characteristic data, comprising:
Using depth hash algorithm calculate the identity characteristic data that the user uploads the first cryptographic Hash and preset identity characteristic
Second cryptographic Hash of data；
Calculate the Hamming distance between first cryptographic Hash and second cryptographic Hash；
If the Hamming distance is less than pre-determined distance, it is determined that the identity characteristic data and the preset identity that the user uploads
Characteristic matches.
7. the method according to claim 1, wherein described further include:
If the identity characteristic data that the user uploads are not matched that with the preset identity characteristic data, authentication failed is exported
Prompt information, and detect the number of user's checking failure；
If the number is greater than preset times, the document approval request that the user sends no longer is received within a preset period of time
Instruction.
8. a kind of document calibration equipment based on recognition of face, which is characterized in that described device includes:
Receiving module, the approval request for document for receiving user's input instruct；
Detection module, for being detected to the corresponding Testing index of the document；
Determining module, for determining the quantity that there is abnormal Testing index in the document；
The determining module is also used to determine that the identity characteristic data that user needs to upload, the identity are special according to the quantity
Levying data includes at least one of human face data, finger print data and iris data；
The receiving module is also used to receive the identity characteristic data that the user uploads；
Judgment module, for judging whether identity characteristic data that the user uploads match with preset identity characteristic data；
Approval module, if the identity characteristic data for the user to upload match with the preset identity characteristic data,
The document is examined.
9. a kind of server, which is characterized in that including processor, input equipment, output equipment and memory, the processor,
Input equipment, output equipment and memory are connected with each other, wherein the memory is for storing computer program, the calculating
Machine program includes program instruction, and the processor is configured for calling described program instruction, is executed as claim 1-7 is any
Method described in.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey
Sequence, the computer program include program instruction, and described program instruction executes the processor such as
The described in any item methods of claim 1-7.
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Cited By (2)
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| CN110852239A (en) * | 2019-11-06 | 2020-02-28 | 金陵科技学院 | Face recognition system |
| CN112665698A (en) * | 2020-12-15 | 2021-04-16 | 重庆电子工程职业学院 | Intelligent electronic scale |
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| CN110852239B (en) * | 2019-11-06 | 2022-08-30 | 金陵科技学院 | Face recognition system |
| CN112665698A (en) * | 2020-12-15 | 2021-04-16 | 重庆电子工程职业学院 | Intelligent electronic scale |
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