CN109255618A - For the recognition of face payment information method for anti-counterfeit of dynamic video - Google Patents
For the recognition of face payment information method for anti-counterfeit of dynamic video Download PDFInfo
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- CN109255618A CN109255618A CN201811017639.5A CN201811017639A CN109255618A CN 109255618 A CN109255618 A CN 109255618A CN 201811017639 A CN201811017639 A CN 201811017639A CN 109255618 A CN109255618 A CN 109255618A
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- face
- user
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- payment
- dynamic video
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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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
- G06Q20/40145—Biometric identity checks
Abstract
The invention discloses the recognition of face payment information method for anti-counterfeit for being directed to dynamic video, the following steps are included: S1: user's enrollment status information first on paying website or payment software, identity information includes name, Private Banking's account information and facial image information, carries out the foundation of user data system；S2: according to the customer identification information for reaching website, the live dynamic video of user is obtained, and is extracted by the capture that live recorded video carries out user's face image information.The dynamic video that recognition of face payment information method for anti-counterfeit proposed by the present invention for dynamic video passes through extraction, carry out the extraction comparison of disburser's facial image information, once identified, it simultaneously according to the dynamic instruction issued at random, is recognized, greatly improves the safety of user's payment, pass through last terminal check simultaneously, it is identified three times, so that the present invention has extremely strong payment anti-counterfeiting performance, payment safety is high.
Description
Technical field
The present invention relates to method for anti-counterfeit technical fields, more particularly to anti-fake for the recognition of face payment information of dynamic video
Method.
Background technique
It is well known that the information age of the rapid development in this science and technology, the importance of information security seem especially
Important, as one of the common method to ensure information security, authentication is increasingly becoming an indispensable skill in life
Art, and increasing effect has been played in staff attendance, the practical applications such as public security monitoring.In the development of identity identifying technology
In, mainly produce traditional identity verifying and two kinds of systems of living things feature recognition.The former mainly includes password identification, and radio frequency is known
Not, the recognition methods based on certain identity object such as signature identification, is still widely used at present；The latter mainly includes people
Face identification, iris recognition, the recognition methods based on biological characteristic such as Application on Voiceprint Recognition.At this stage, living things feature recognition method is also gradually
From new and high technology, public stage has been moved towards.In identification system, the raising of accuracy and convenience is that technology is ground forever
The main direction of studying studied carefully and inquired into.In daily life, network payment has come into the every field of life, has side
Just, advantage fast, efficient and economic, existing network payment mostly use traditional identity to verify greatly, and traditional identity is verified very
It is easy to be cracked by others, is often cracked and steal by offender, thus it is proposed that a kind of recognition of face for dynamic video
Payment information method for anti-counterfeit.
Summary of the invention
The purpose of the present invention is to solve the verifyings of existing traditional identity to be very easy to be cracked by others, often by crime
Molecule cracks the shortcomings that stealing, and the recognition of face payment information method for anti-counterfeit for dynamic video proposed.
For the recognition of face payment information method for anti-counterfeit of dynamic video, comprising the following steps:
S1: user's enrollment status information first on paying website or payment software, identity information include name, personal silver
Row account information and facial image information carry out the foundation of user data system；
S2: according to the customer identification information for reaching website, the live dynamic video of user is obtained, and view is recorded by scene
The capture that frequency carries out user's face image information is extracted；
S3: the facial image information in the user's face image information of capture and subscriber identity information data is carried out pair
Than；
S4: after comparison is qualified, carrying out secondary audit and reacquire the live dynamic video of user after comparison is unqualified, and
It is extracted by the capture that live recorded video carries out user's face image information, is compared again；
S5: carrying out secondary review, issues dynamic instruction at random, and user carries out corresponding face action according to command adapted thereto,
The live dynamic video of user is obtained again, and identifies user action；
S6: user action sends respective pay information extremely by background terminal by meeting with publication dynamic instruction movement
User terminal is finally confirmed that user action and publication dynamic instruction performance of a different dive close or without movement, come back to S2
Step；
S7: by background terminal transmission respective pay information to user terminal, not confirmed finally, and transaction is cancelled,
It carries out after normally confirming, transaction payment is completed.
Preferably, the user data system in the S1 includes central processing module, face information recording module, face number
According to library module, comparison selecting module, synthesis module and memory module, face information recording module is to the face of face and face
After profile is captured, information is passed into comparison selecting module by central processing module, compares selecting module from face number
Selection is compared according to the face data that library module extracts corresponding face data and capture, it is single that synthesis is passed to after choosing
Member, synthesis unit synthesize the face and catcher's face profile of selection, and carry out user's face figure by memory module
As the storage of information.
Preferably, the face information recording module include motion feature capture unit, pretreatment unit, ellipse element,
Facial contour capture unit, face capture unit, the output end of motion feature capture unit are connected with pretreatment unit, pretreatment
The output end of unit is connected with ellipse element, and the output end of ellipse element is connected with facial contour capture unit and face capture list
Member.
Preferably, the face database module includes eye unit, mouth unit, nose unit, eyebrow unit and ear
Piece unit.
Preferably, the dynamic instruction includes blink movement, head shaking movement, pinches ear movement or open one's mouth to act.
Preferably, the motion feature capture unit is detected using the organ of face or face relative to the movement of background
Face, to realize the separation of face and background；The pretreatment unit is combined using the two kinds of colour of skin spaces YCBCr and YIQ
Skin color segmentation is carried out, then with four kinds of several shape features such as area density, length ratio, consistency and relative importance eliminations
Elimination and the incongruent region of Face geometric eigenvector, improve the precision of subsequent Face datection after pretreatment；The ellipse element will
The method that face compares long axis, short axle and deflection angle that adjust automatically ellipse template is proposed at ellipse carries out face with candidate region
Product similarity and edge similar degree matching, can preferably be fitted the exterior contour of personnel, facial contour capture unit for pair
Go out facial contour by the processed image zooming-out of ellipse element；Face capture unit is used to capture the face on face.
Preferably, propose that facial image information is compared including face contour comparison and face comparison in the S3,
Facial image information comparison similarity need to be maintained at 80%-100%.
Preferably, the capture for carrying out user's face image information by live recorded video proposed in the S2 is extracted,
Its live video information equally passes to the face information recording module in user data system and is handled, and extracts face
The profile of face and face.
Preferably, the payment information proposed in the S6 includes payment amount, payment product information and location for payment letter
Breath.
Preferably, it is proposed in the S4, after comparison is unqualified, reacquires the live dynamic video of user and extract use
Family facial image information re-starts comparison, and comparison number is repeated in one day must not exceed 2-5 times.
The identity information that the present invention is proposed by user, to the name, Private Banking's account information and face-image of user
Information extracts, and models to its facial image information, when needing to pay, passes through the record of the dynamic video at scene
System, extracts facial image information, and compare with the facial image information of registration, realizes first comparison, and anti-counterfeiting performance is high；
By issuing dynamic instruction at random, user carries out corresponding face action according to command adapted thereto, obtains user again
Live dynamic video, and identify user action carry out judgement movement to mistake, prevent the case where recording video in advance, into
One step improves anti-counterfeiting performance；
Respective pay information is sent to user terminal by background terminal, is finally confirmed, so that payment information is each
User terminal is reached when payment, is finally confirmed, improves anti-counterfeiting performance again；
The present invention is carried out the extraction comparison of disburser's facial image information, is once known by the dynamic video extracted
Not, it while according to the dynamic instruction issued at random, is recognized, greatly improves the safety of user's payment, simultaneously
It by last terminal check, is identified three times, so that the present invention has extremely strong payment anti-counterfeiting performance, payment safety
It is high.
Detailed description of the invention
Fig. 1 is the user data system for the recognition of face payment information method for anti-counterfeit for dynamic video that invention proposes
Block diagram；
Fig. 2 is the face information typing mould for the recognition of face payment information method for anti-counterfeit for dynamic video that invention proposes
The block diagram of block；
Fig. 3 is the face database module for the recognition of face payment information method for anti-counterfeit for dynamic video that invention proposes
Block diagram.
Specific embodiment
Combined with specific embodiments below the present invention is made further to explain.
Embodiment one
Recognition of face payment information method for anti-counterfeit proposed by the present invention for dynamic video, comprising the following steps:
S1: user's enrollment status information first on paying website or payment software, identity information include name, personal silver
Row account information and facial image information carry out the foundation of user data system, typing face dynamic video, face information typing
Module detects face relative to the movement of background using the organ of face or face by motion feature capture unit, thus real
The separation of existing face and background；The pretreatment unit is combined using the two kinds of colour of skin spaces YCBCr and YIQ and carries out the colour of skin point
It cuts, then with four kinds of several shape features eliminations such as area density, length ratio, consistency and relative importance elimination and face
The incongruent region of geometrical characteristic, improves the precision of subsequent Face datection after pretreatment；The ellipse element by face compare at
Ellipse, the method for proposing the long axis of adjust automatically ellipse template, short axle and deflection angle, with candidate region carry out area similarity and
Edge similar degree matching, can preferably be fitted the exterior contour of personnel, and facial contour capture unit is used for by oval single
The processed image zooming-out of member goes out facial contour；Face capture unit is used to capture the face on face, face information typing mould
After block captures the face of face and the profile of face, information is passed into comparison selection mould by central processing module
Block compares selecting module from the face data that face database module extracts corresponding face data and capture and compares choosing
It selects, synthesis unit is passed to after choosing, synthesis unit synthesizes the face and catcher's face profile of selection, and passes through
The storage of memory module progress user's face image information；
S2: according to the customer identification information for reaching website, the live dynamic video of user is obtained, and view is recorded by scene
The capture that frequency carries out user's face image information is extracted, and live video is passed to user data system, face information typing mould
Block detects face relative to the movement of background using the organ of face or face by motion feature capture unit, to realize
The separation of face and background；The pretreatment unit combines carry out skin color segmentation using the two kinds of colour of skin spaces YCBCr and YIQ,
Then it is eliminated with four kinds of several shape features such as area density, length ratio, consistency and relative importance eliminations several with face
What incongruent region of feature, improves the precision of subsequent Face datection after pretreatment；The ellipse element compares face at ellipse
Circle, the method for proposing the long axis of adjust automatically ellipse template, short axle and deflection angle carry out area similarity and side with candidate region
Edge similarity mode, can preferably be fitted the exterior contour of personnel, and facial contour capture unit is used for by ellipse element
Processed image zooming-out goes out facial contour；Face capture unit is used to capture the face on face, and by facial contour and mentions
The user's face image information of the face information and storage that take compares；
S3: the facial image information in the user's face image information of capture and subscriber identity information data is carried out pair
Than facial image information comparison similarity need to be maintained at 80%-100%；
S4: after comparison is qualified, carrying out secondary audit and reacquire the live dynamic video of user after comparison is unqualified, and
It is extracted by the capture that live recorded video carries out user's face image information, is compared again, comparison number is repeated in one day not
It obtains more than 3 times；
S5: carrying out secondary review, issue dynamic instruction at random, and such as blink movement, head shaking movement pinch ear movement or open one's mouth
Movement, user carry out corresponding face action according to command adapted thereto, obtain the live dynamic video of user again, and identify user
When acting, then identifying, guarantee that user's face image is the same；
S6: user action sends respective pay information (branch by background terminal by meeting with publication dynamic instruction movement
Pay the amount of money, payment product information and location for payment information) to user terminal, finally confirmed, user action and publication are dynamic
State instruction action does not meet or without movement, comes back to S2 step；
S7: by background terminal transmission respective pay information to user terminal, without finally being confirmed in 1 minute,
Transaction is cancelled, and carries out after normally confirming, transaction payment is completed.
The face database module includes eye unit, mouth unit, nose unit, eyebrow unit and ear unit,
Multiple eye templates, mouth template, nose template, eyebrow template and ear template are stored in each unit respectively, in typing
When facial information, the face data for extracting corresponding face data and capture are compared into selection, out of face database into
Then the combination of row face is synthesized with catcher's face profile.
Embodiment two
Recognition of face payment information method for anti-counterfeit proposed by the present invention for dynamic video, comprising the following steps:
S1: user's enrollment status information first on paying website or payment software, identity information include name, personal silver
Row account information and facial image information carry out the foundation of user data system, typing face dynamic video, face information typing
Module detects face relative to the movement of background using the organ of face or face by motion feature capture unit, thus real
The separation of existing face and background；The pretreatment unit is combined using the two kinds of colour of skin spaces YCBCr and YIQ and carries out the colour of skin point
It cuts, then with four kinds of several shape features eliminations such as area density, length ratio, consistency and relative importance elimination and face
The incongruent region of geometrical characteristic, improves the precision of subsequent Face datection after pretreatment；The ellipse element by face compare at
Ellipse, the method for proposing the long axis of adjust automatically ellipse template, short axle and deflection angle, with candidate region carry out area similarity and
Edge similar degree matching, can preferably be fitted the exterior contour of personnel, and facial contour capture unit is used for by oval single
The processed image zooming-out of member goes out facial contour；Face capture unit is used to capture the face on face, face information typing mould
After block captures the face of face and the profile of face, information is passed into comparison selection mould by central processing module
Block compares selecting module from the face data that face database module extracts corresponding face data and capture and compares choosing
It selects, synthesis unit is passed to after choosing, synthesis unit synthesizes the face and catcher's face profile of selection, and passes through
The storage of memory module progress user's face image information；
S2: according to the customer identification information for reaching website, the live dynamic video of user is obtained, and view is recorded by scene
The capture that frequency carries out user's face image information is extracted, and live video is passed to user data system, face information typing mould
Block detects face relative to the movement of background using the organ of face or face by motion feature capture unit, to realize
The separation of face and background；The pretreatment unit combines carry out skin color segmentation using the two kinds of colour of skin spaces YCBCr and YIQ,
Then it is eliminated with four kinds of several shape features such as area density, length ratio, consistency and relative importance eliminations several with face
What incongruent region of feature, improves the precision of subsequent Face datection after pretreatment；The ellipse element compares face at ellipse
Circle, the method for proposing the long axis of adjust automatically ellipse template, short axle and deflection angle carry out area similarity and side with candidate region
Edge similarity mode, can preferably be fitted the exterior contour of personnel, and facial contour capture unit is used for by ellipse element
Processed image zooming-out goes out facial contour；Face capture unit is used to capture the face on face, and by facial contour and mentions
The user's face image information of the face information and storage that take compares；
S3: the facial image information in the user's face image information of capture and subscriber identity information data is carried out pair
Than facial image information comparison similarity need to be maintained at 80%-100%；
S4: after comparison is qualified, carrying out secondary audit and reacquire the live dynamic video of user after comparison is unqualified, and
It is extracted by the capture that live recorded video carries out user's face image information, is compared again, comparison number is repeated in one day not
It obtains more than 5 times；
S5: carrying out secondary review, issue dynamic instruction at random, and such as blink movement, head shaking movement pinch ear movement or open one's mouth
Movement, user carry out corresponding face action according to command adapted thereto, obtain the live dynamic video of user again, and identify user
When acting, then identifying, guarantee that user's face image is the same；
S6: user action sends respective pay information (branch by background terminal by meeting with publication dynamic instruction movement
Pay the amount of money, payment product information and location for payment information) to user terminal, finally confirmed, user action and publication are dynamic
State instruction action does not meet or without movement, comes back to S2 step；
S7: respective pay information is sent by background terminal and is handed over to user terminal without finally being confirmed in 90 seconds
Easily cancel, carries out after normally confirming, transaction payment is completed.
The present invention is carried out the extraction comparison of disburser's facial image information, is once known by the dynamic video extracted
Not, it while according to the dynamic instruction issued at random, is recognized, greatly improves the safety of user's payment, simultaneously
It by last terminal check, is identified three times, so that the present invention has extremely strong payment anti-counterfeiting performance, payment safety
It is high.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (10)
1. being directed to the recognition of face payment information method for anti-counterfeit of dynamic video, which comprises the following steps:
S1: user's enrollment status information first on paying website or payment software, identity information include name, Private Banking's account
Family information and facial image information carry out the foundation of user data system；
S2: according to the customer identification information for reaching website, obtaining the live dynamic video of user, and by live recorded video into
The capture of row user's face image information is extracted；
S3: the user's face image information and the facial image information in subscriber identity information data of capture are compared；
S4: it after comparison is qualified, carries out secondary audit and reacquires the live dynamic video of user, and pass through after comparison is unqualified
The capture that live recorded video carries out user's face image information is extracted, and is compared again；
S5: carrying out secondary review, issues dynamic instruction at random, and user carries out corresponding face action according to command adapted thereto, again
The live dynamic video of user is obtained, and identifies user action；
S6: user action sends respective pay information to user by background terminal by meeting with publication dynamic instruction movement
Terminal is finally confirmed that user action and publication dynamic instruction performance of a different dive close or without movement, come back to S2 step
Suddenly；
S7: respective pay information is sent to user terminal by background terminal, is not confirmed finally, transaction is cancelled, and carries out
After normal confirmation, transaction payment is completed.
2. the recognition of face payment information method for anti-counterfeit according to claim 1 for dynamic video, which is characterized in that institute
Stating the user data system in S1 includes central processing module, face information recording module, face database module, comparison selection
Module, synthesis module and memory module will after face information recording module captures the face of face and the profile of face
Information passes to comparison selecting module by central processing module, and comparison selecting module is extracted corresponding from face database module
Face data and the face data of capture compare selection, synthesis unit are passed to after choosing, synthesis unit is to selection
Face and catcher's face profile synthesize, and the storage of user's face image information is carried out by memory module.
3. the recognition of face payment information method for anti-counterfeit according to claim 2 for dynamic video, which is characterized in that institute
State face information recording module include motion feature capture unit, pretreatment unit, ellipse element, facial contour capture unit,
Face capture unit, the output end of motion feature capture unit are connected with pretreatment unit, the output end connection of pretreatment unit
There is ellipse element, the output end of ellipse element is connected with facial contour capture unit and face capture unit.
4. the recognition of face payment information method for anti-counterfeit according to claim 2 for dynamic video, which is characterized in that institute
Stating face database module includes eye unit, mouth unit, nose unit, eyebrow unit and ear unit.
5. the recognition of face payment information method for anti-counterfeit according to claim 1 for dynamic video, which is characterized in that institute
Dynamic instruction is stated to include blink movement, head shaking movement, pinch ear movement or open one's mouth to act.
6. the recognition of face payment information method for anti-counterfeit according to claim 3 for dynamic video, which is characterized in that institute
It states motion feature capture unit and detects face relative to the movement of background using the organ of face or face, to realize face
With the separation of background；The pretreatment unit combines carry out skin color segmentation using the two kinds of colour of skin spaces YCBCr and YIQ, then
It is eliminated with four kinds of several shape features such as area density, length ratio, consistency and relative importance elimination special with face geometry
Incongruent region is levied, the precision of subsequent Face datection is improved after pretreatment；The ellipse element compares face at ellipse, mentions
The method of the long axis of adjust automatically ellipse template, short axle and deflection angle out carries out area similarity and edge phase with candidate region
It is matched like degree, can preferably be fitted the exterior contour of personnel, facial contour capture unit is used to handle by ellipse element
The image zooming-out crossed goes out facial contour；Face capture unit is used to capture the face on face.
7. the recognition of face payment information method for anti-counterfeit according to claim 1 for dynamic video, which is characterized in that institute
It states and proposes that facial image information is compared including face contour comparison and face comparison in S3, facial image information compares phase
80%-100% need to be maintained at like degree.
8. the recognition of face payment information method for anti-counterfeit according to claim 1 for dynamic video, which is characterized in that institute
It states the capture for carrying out user's face image information by live recorded video proposed in S2 to extract, live video information is same
The face information recording module passed in user data system is handled, and the face of face and the profile of face are extracted.
9. the recognition of face payment information method for anti-counterfeit according to claim 1 for dynamic video, which is characterized in that institute
Stating the payment information proposed in S6 includes payment amount, payment product information and location for payment information.
10. the recognition of face payment information method for anti-counterfeit according to claim 1 for dynamic video, which is characterized in that
It is proposed in the S4, after comparison is unqualified, reacquires the live dynamic video of user and extract user's face image information,
Comparison is re-started, comparison number is repeated in one day must not exceed 2-5 times.
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| CN112101931A (en) * | 2020-08-27 | 2020-12-18 | 江西台德智慧科技有限公司 | Method for enhancing safety of face-brushing payment technology |
| WO2021025627A1 (en) | 2019-08-05 | 2021-02-11 | Pippa Consulting, Vanja Cas S.P. | A transaction processing system and a transaction method based on facial recognition |
| CN112488726A (en) * | 2020-12-26 | 2021-03-12 | 志远信达科技(深圳)有限公司 | Face brushing payment system and method based on two-way communication |
| CN114157522A (en) * | 2021-10-20 | 2022-03-08 | 深圳市银众信息技术有限公司 | Internet of things intelligent equipment terminal safety control method and system |
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Application publication date: 20190122 |