CN108460600A - Face payment mechanism based on the identification of fingerprint secondary identities - Google Patents
Face payment mechanism based on the identification of fingerprint secondary identities Download PDFInfo
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- CN108460600A CN108460600A CN201810197321.3A CN201810197321A CN108460600A CN 108460600 A CN108460600 A CN 108460600A CN 201810197321 A CN201810197321 A CN 201810197321A CN 108460600 A CN108460600 A CN 108460600A
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- G—PHYSICS
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- 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
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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
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
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- 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
- G06V40/1365—Matching; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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Abstract
The present invention relates to a kind of face payment mechanisms based on the identification of fingerprint secondary identities, including face recognition device, fingerprint identification device, payment devices and main control device, fingerprint identification device is used to provide assistant authentification for the customer identification identification of face recognition device, main control device is connect with face recognition device, fingerprint identification device and payment devices respectively, is used for the payment of the output control payment devices based on assistant authentification.By means of the invention it is possible to improve the precision of customer identification certification.
Description
It is on April 1st, 2016 that the present invention, which is application No. is the 201610204674.2, applying date, entitled " based on finger
The divisional application of the patent of the face payment mechanism of line secondary identities identification ".
Technical field
The present invention relates to face payment technical fields more particularly to a kind of face based on the identification of fingerprint secondary identities to pay dress
It sets.
Background technology
Recognition of face has following features：It is non-imposed：User need not specially coordinate face collecting device, almost can be with
Facial image can be obtained in the state of unconscious, such sampling mode does not have " mandatory "；It is untouchable：User is not required to
Facial image can be obtained by being in direct contact with equipment；Concurrency：Point of multiple faces can be carried out under practical application scene
It picks, judge and identifies；In addition to this, it also is compliant with visual characteristic：" with looks know people " characteristic and easy to operate, visual result,
The features such as good concealment.
As technology develops, facial-recognition security systems are mounted in various payment systems, some companies, which are then researching and developing, to be based on
The third party of facial-recognition security systems transfers accounts platform.
Recognition of face payment includes the following steps：Step 1：When checkout, consumer only need to face POS machine screen in cashier
Camera on curtain, system automatic camera, scanning consumer's face, then the storage information in image and database is carried out pair
Than；Step 2：Consumer's facial information is associated with payment system simultaneously, after the identity information of consumer is shown,
He/her need to only click " OK " confirmation in touch display screen, and whole process of exchange are accused and completed.
However, there is also certain drawbacks for above-mentioned recognition of face payment, for example, since face is there are changeability,
There may be the validation testings of the situation of identification mistake, and above-mentioned recognition of face payment only simply to press " OK " acknowledgement key, cares for
Visitor can not see whether that face recognition has occurred that misrecognition, and at this moment if carrying out checkout payment, the account of other customers can
It can incur loss；For another example when the customer of queuing checkout is more, the recognition of face mode based on image detection may be by other
The face-image of customer is as identification target；In another example the specific facial characteristics recognition mode of face face recognition payment is excessively
Simply, it is not high to be easy to cause accuracy of identification.
Therefore, a kind of new face identification device is needed in payment process, fundamentally solves above-mentioned technical problem,
It can improve the efficiency of payment while improving the accuracy of recognition of face payment result, save a large amount of time of payment, more
It is essential that can ensure the account number safety of each customer.
Invention content
To solve the above-mentioned problems, the present invention provides it is a kind of based on fingerprint secondary identities identification face payment mechanism,
After by recognition of face customer identification, identity validation is carried out using other customer identification authenticating devices, avoids accidentally payment
It happens, and when the customer of queuing checkout is more, the face-image of each customer in image is all split, with
The customer actually to settle accounts is selected for cashier carries out subsequent facial characteristics identification, it is often more important that, also advanced optimize
Facial recognition mechanisms itself.
According to an aspect of the present invention, a kind of face payment mechanism identified based on fingerprint secondary identities is provided, it is described
Device includes face recognition device, fingerprint identification device, payment devices and main control device, and fingerprint identification device is used to know for face
Other equipment customer identification identification provide assistant authentification, main control device respectively with face recognition device, fingerprint identification device and branch
Dispensing apparatus connects, and is used for the payment of the output control payment devices based on assistant authentification.
More specifically, in the face payment mechanism identified based on fingerprint secondary identities, including：Payment devices, with
Ling Yang SPCE061A chips connect, for receiving identity information and payment amount to complete to pay；Fingerprint receiving device, for adopting
Collect the finger print information of customer；Fingerprint matching device is connect with the fingerprint database of fingerprint receiving device and distal end respectively, fingerprint number
The fingerprint characteristic that everyone has been prestored according to library, the finger print information based on the output of fingerprint receiving device are sought in fingerprint database
Matched fingerprint characteristic is looked for, and using the corresponding piece identity of matched fingerprint characteristic as confirmation identity output；High-definition camera,
It is arranged above POS machine, is shot for the crowd to queuing checkout to obtain high definition crowd's image；Face detection equipment,
It is connect respectively with mobile hard disk and high-definition camera, for receiving high definition crowd image and preset reference face contour, based on pre-
If benchmark face contour matches multiple facial subgraphs in high definition crowd's image；Liquid crystal display is set with face detection
Standby connection is to receive and show multiple facial subgraphs, and liquid crystal display also carries touch screen, with the input based on cashier
The selection target face subgraph from multiple facial subgraphs；Geometrical correction device, respectively with face detection equipment and liquid crystal
Show that equipment connects, receive target face subgraph and geometric correction processing is carried out to obtain geometric correction to target face subgraph
Image；Image orbiting facility, connect with geometrical correction device to receive geometric correction image, and image is carried out to geometric correction image
Rotation processing is to obtain rotation image；Image translation device connect to receive rotation image with image orbiting facility, schemes to rotation
As carrying out image translation processing to obtain displacement images；Image segmentation apparatus connects with mobile hard disk and image translation device respectively
It connects, for receiving pre-set image block size and displacement images, displacement images is split to obtain pre-set image block size
Divide image；Histogram equalization equipment, connect with image segmentation apparatus, for receiving segmentation image and being carried out to segmentation image
Histogram equalization processing, to obtain the grey level histogram of segmentation image；Gaussian smoothing filter equipment, sets with histogram equalization
Standby connection, for receiving grey level histogram and carrying out Gaussian smoothing filter processing to grey level histogram, to obtain images to be recognized；
Mobile hard disk, for having prestored preset reference face contour and pre-set image block size；Gradient analysis equipment, it is flat with Gauss
Sliding filter apparatus connection calculates its gradient direction corresponding thereto to receive images to be recognized to each pixel in images to be recognized
In the relative gradient amplitude of surrounding pixel, images to be recognized is determined based on the gradient direction and relative gradient amplitude of each pixel
Relative gradient histogram feature；Signature analysis equipment is connect with gradient analysis equipment to receive the relatively terraced of images to be recognized
Histogram feature is spent, Feature Dimension Reduction is carried out to obtain the low of images to be recognized to the relative gradient histogram feature of images to be recognized
Dimensional feature description；Characteristic matching equipment is connect with the face recognition data library of signature analysis equipment and distal end respectively, and face is known
Other database has prestored the low-dimensional feature of everyone face-image, the low-dimensional feature of feature based analytical equipment output
Description finds matched low-dimensional feature in face recognition data library, and using the corresponding piece identity of matched low-dimensional feature as
Identify identity output；Tdd communication apparatus, for passing through time division duplex communication link establishment characteristic matching equipment and distal end
Face recognition data library between connection, be additionally operable to through time division duplex communication link establishment fingerprint matching device and distal end
Connection between fingerprint database；Ling Yang SPCE061A chips connect with liquid crystal display, characteristic matching equipment, fingerprint respectively
Receiving unit is connected with fingerprint matching device, when receiving identification identity from characteristic matching equipment, to the customer currently to settle accounts
Start fingerprint receiving device and fingerprint matching device to receive confirmation identity, the customer currently to settle accounts is in the crowd of queuing checkout
In, it is when identifying identity with confirming that identity is consistent, identification identity and cashier is defeated by the touch screen of liquid crystal display
The value data entered is sent collectively to the payment devices of distal end to complete to pay, while being sent out to the corresponding E-mail address of identification identity
Confirmation mail is sent, confirms that mail includes customer payment video；Wherein, preset reference face contour be to benchmark face-image into
Row contours extract and the figure obtained, pre-set image block size are selected as the pixel of 45 pixels × 50；Wherein, liquid crystal display is also used
In display text prompt information corresponding with identity validation failure signal or identity validation pass signal.
More specifically, described based in the face payment mechanism of fingerprint secondary identities identification：High-definition camera is additionally operable to
Record customer payment video.
More specifically, described based in the face payment mechanism of fingerprint secondary identities identification：Ling Yang SPCE061A chips
When identifying identity with confirming that identity is inconsistent, identity validation failure signal is sent out, Ling Yang SPCE061A chips are in identification body
When part is with confirming that identity is consistent, identity validation pass signal is sent out.
More specifically, described based in the face payment mechanism of fingerprint secondary identities identification：Ling Yang SPCE061A chips
When not receiving identification identity after the first preset time, identity validation failure signal is sent out, Ling Yang SPCE061A chips are the
When not receiving confirmation identity after two preset times, identity validation failure signal is sent out.
More specifically, described based in the face payment mechanism of fingerprint secondary identities identification：Mobile hard disk is additionally operable to pre-
First store the first preset time and the second preset time.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the structure according to the face payment mechanism based on the identification of fingerprint secondary identities shown in embodiment of the present invention
Block diagram.
Reference numeral：1 face recognition device；2 fingerprint identification devices；3 payment devices；4 main control devices
Specific implementation mode
Below with reference to accompanying drawings to the embodiment of the face payment mechanism based on the identification of fingerprint secondary identities of the present invention
It is described in detail.
Recognition of face and fingerprint recognition, personal recognition, retina identification, bone identification, heartbeat identification etc. belong to human body
Biometrics identification technology is all with technologies such as photoelectric technology, micro-computer technology, image processing techniques and pattern-recognitions
What fast development was come into being.It can quick, accurate, wholesomely progress identity identification；With non-reproduction, even if having done whole
Hold operation, which can also find out " originally you " from hundreds of face features.The application of face identification system in the world
Quite extensively.
The developing history of recognition of face payment is as follows：In July, 2013, venture company of Finland Uniqul was proposed first in history
Payment platform of the money based on face identification system.It is claimed according to Uniqul, this technology has been applied for a patent, he can greatly shorten
Time of payment, and possess the protection of " military level algorithm ".The user's registration of Uniqul " brush face " payment system has been started up, first
It can first be disposed in Helsinki, Finland area." brush face " system currently tested by Helsinki.For peace
The trade company of Uniqul is filled, company's preliminary project provides free terminal device.
However, there are still following deficiencies for existing recognition of face payment scheme：Since facial characteristics can be due to lift face, fat
The reasons such as thin, aging change, and single inevitably brings recognition failures and cause by facial characteristics completion payment
Payment difficulty problem；The possible more than one of the customer of checkout is waited for, if face-image segmentation is simply carried out, after segmentation
Face-image carry out feature recognition, will cause identify object mistake problem；And existing facial recognition techniques are excessively simple
Single, testing mechanism falls behind, and needs to be improved to improve facial feature detection precision.
In order to overcome above-mentioned deficiency, the present invention to build a kind of face payment mechanism identified based on fingerprint secondary identities,
Above-mentioned technical problem can be solved, the payment process identified based on facial characteristics is smoothly completed, to improve customer payment efficiency
And speed, avoid customer's economy from incurring loss.
Fig. 1 is the structure according to the face payment mechanism based on the identification of fingerprint secondary identities shown in embodiment of the present invention
Block diagram, described device include face recognition device, fingerprint identification device, payment devices and main control device, fingerprint identification device
There is provided assistant authentification for the customer identification identification for face recognition device, main control device respectively with face recognition device, fingerprint
Identification equipment is connected with payment devices, is used for the payment of the output control payment devices based on assistant authentification.
Then, continue to the concrete structure for the face payment mechanism of the present invention identified based on fingerprint secondary identities into traveling
The explanation of one step.
Described device includes：Payment devices are connect with Ling Yang SPCE061A chips, for receiving identity information and payment gold
Volume is to complete to pay.
Described device includes：Fingerprint receiving device, the finger print information for acquiring customer；Fingerprint matching device, respectively with
Fingerprint receiving device is connected with the fingerprint database of distal end, and fingerprint database has prestored everyone fingerprint characteristic, base
Matched fingerprint characteristic is found in fingerprint database, and in the finger print information of fingerprint receiving device output by matched fingerprint characteristic
Corresponding piece identity is as confirmation identity output.
Described device includes：High-definition camera is arranged above POS machine, is shot for the crowd to queuing checkout
To obtain high definition crowd's image；Face detection equipment, connect with mobile hard disk and high-definition camera respectively, for receiving high definition people
Group's image and preset reference face contour match multiple face based on preset reference face contour in high definition crowd's image
Image.
Described device includes：Liquid crystal display is connect with face detection equipment to receive and show multiple facial subgraphs
Picture, liquid crystal display also carry touch screen, and with the input based on cashier, selection target is facial from multiple facial subgraphs
Subgraph；Geometrical correction device is connect with face detection equipment and liquid crystal display respectively, receives target face subgraph simultaneously
Geometric correction processing is carried out to obtain geometric correction image to target face subgraph.
Described device includes：Image orbiting facility is connect with geometrical correction device to receive geometric correction image, to geometry
It corrects image and carries out image rotation processing to obtain rotation image；Image translation device is connect with image orbiting facility to receive
Image is rotated, image translation processing is carried out to obtain displacement images to rotation image；Image segmentation apparatus, respectively with mobile hard disk
It connects with image translation device, for receiving pre-set image block size and displacement images, displacement images is split to obtain
The segmentation image of pre-set image block size.
Described device includes：Histogram equalization equipment, connect with image segmentation apparatus, for receiving segmentation image and right
Divide image and carry out histogram equalization processing, to obtain the grey level histogram of segmentation image；Gaussian smoothing filter equipment is and straight
Side's figure equalization equipment connection, for receiving grey level histogram and carrying out Gaussian smoothing filter processing to grey level histogram, to obtain
Obtain images to be recognized；Mobile hard disk, for having prestored preset reference face contour and pre-set image block size.
Described device includes：Gradient analysis equipment connect to receive images to be recognized with Gaussian smoothing filter equipment, treats
Each pixel calculates its gradient direction corresponding thereto in the relative gradient amplitude of surrounding pixel in identification image, is based on each
The gradient direction of pixel determines the relative gradient histogram feature of images to be recognized with relative gradient amplitude；Signature analysis equipment,
It is connect with gradient analysis equipment to receive the relative gradient histogram feature of images to be recognized, to the relative gradient of images to be recognized
Histogram feature carries out Feature Dimension Reduction to obtain the low-dimensional Feature Descriptor of images to be recognized.
Described device includes：Characteristic matching equipment connects with the face recognition data library of signature analysis equipment and distal end respectively
It connects, face recognition data library has prestored the low-dimensional feature of everyone face-image, the output of feature based analytical equipment
Low-dimensional Feature Descriptor find matched low-dimensional feature in face recognition data library, and by the corresponding people of matched low-dimensional feature
Object identity is as identification identity output；Tdd communication apparatus, for passing through time division duplex communication link establishment characteristic matching
Connection between equipment and the face recognition data library of distal end is additionally operable to set by time division duplex communication link establishment fingerprint matching
The standby connection between the fingerprint database of distal end.
Described device includes：Ling Yang SPCE061A chips connect with liquid crystal display, characteristic matching equipment, fingerprint respectively
Receiving unit is connected with fingerprint matching device, when receiving identification identity from characteristic matching equipment, to the customer currently to settle accounts
Start fingerprint receiving device and fingerprint matching device to receive confirmation identity, the customer currently to settle accounts is in the crowd of queuing checkout
In, it is when identifying identity with confirming that identity is consistent, identification identity and cashier is defeated by the touch screen of liquid crystal display
The value data entered is sent collectively to the payment devices of distal end to complete to pay, while being sent out to the corresponding E-mail address of identification identity
Confirmation mail is sent, confirms that mail includes customer payment video.
Wherein, preset reference face contour presets figure to carry out the figure that contours extract obtains to benchmark face-image
As block size is selected as the pixel of 45 pixels × 50；Liquid crystal display is additionally operable to display and identity validation failure signal or identity validation
The corresponding text prompt information of pass signal.
Optionally, in said device：High-definition camera is additionally operable to record customer payment video；Ling Yang SPCE061A chips
When identifying identity with confirming that identity is inconsistent, identity validation failure signal is sent out, Ling Yang SPCE061A chips are in identification body
When part is with confirming that identity is consistent, identity validation pass signal is sent out；Ling Yang SPCE061A chips after the first preset time not
When receiving identification identity, identity validation failure signal is sent out, Ling Yang SPCE061A chips do not receive after the second preset time
To when confirming identity, identity validation failure signal is sent out；And mobile hard disk can be also used for prestoring the first preset time
With the second preset time..
In addition, traditional face recognition technology is mainly based upon the recognition of face of visible images, this is also familiar
Identification method, have more than 30 years development history.But this mode has the defect for being difficult to overcome, especially approved for distribution in ambient light
When changing, recognition effect can drastically decline, and cannot be satisfied the needs of real system.The scheme for solving lighting issues has graphics
As recognition of face and thermal imaging recognition of face.But both technologies are also remote immature, and recognition effect is unsatisfactory.
The a solution developed rapidly is the multiple light courcess face recognition technology based on active near-infrared image.He
The influence that light can be overcome to change has been achieved for remarkable recognition performance, the entirety in terms of precision, stability and speed
System performance is more than 3-D view recognition of face.This technology was quickly grown at nearly 1 year, and face recognition technology is made gradually to walk
To functionization.
Other biological characteristics (fingerprint, iris etc.) of face and human body are equally inherent, his uniqueness and be not easy by
The superperformance of duplication provides necessary premise for identity discriminating, compared with other types of bio-identification, recognition of face tool
There are following features：It is non-imposed：User need not specially coordinate face collecting device, almost can be in the state of unconscious just
Facial image can be obtained, such sampling mode does not have " mandatory "；It is untouchable：User need not be in direct contact just with equipment
Facial image can be obtained；Concurrency：The sorting, judgement and identification of multiple faces can be carried out under practical application scene；Except this
Except, it also is compliant with visual characteristic：The features such as characteristic and easy to operate, visual result, good concealment of " knowing people with looks ".
Face payment mechanism using the present invention based on the identification of fingerprint secondary identities, for prior art recognition of face branch
Pay precision not high technical problem, on the one hand, using fingerprint identity validation mechanism to the result of face authentication into advancing one
On the other hand the confirmation of step also provides multiple images to be recognized for its selection for cashier, avoids carrying out face to other customers
Identification, to improve the precision of recognition of face payment, avoids paying more it is essential that optimizing face recognition device itself
The situation of mistake occurs.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention is right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (2)
1. a kind of face payment mechanism based on the identification of fingerprint secondary identities, described device includes face recognition device, fingerprint knowledge
Other equipment, payment devices and main control device, the fingerprint identification device are used to carry for the customer identification identification of face recognition device
For assistant authentification, the payment devices are connect with Ling Yang SPCE061A chips, for receiving identity information and payment amount with complete
At payment, the main control device is connect with face recognition device, fingerprint identification device and payment devices respectively, for based on auxiliary
The payment of the output control payment devices of certification.
2. the face payment mechanism as described in claim 1 based on the identification of fingerprint secondary identities, which is characterized in that described device
Further include：
Fingerprint receiving device, the finger print information for acquiring customer；
Fingerprint matching device is connect with the fingerprint database of fingerprint receiving device and distal end respectively, and fingerprint database prestores
Everyone fingerprint characteristic, the finger print information based on the output of fingerprint receiving device find matched fingerprint in fingerprint database
Feature, and using the corresponding piece identity of matched fingerprint characteristic as confirmation identity output；
High-definition camera is arranged above POS machine, is shot for the crowd to queuing checkout to obtain high definition crowd figure
Picture；
Face detection equipment, connect with mobile hard disk and high-definition camera respectively, for receiving high definition crowd image and default base
Quasi- face contour matches multiple facial subgraphs based on preset reference face contour in high definition crowd's image；
Liquid crystal display is connect with face detection equipment to receive and show multiple facial subgraphs, and liquid crystal display is also
With touch screen, with the input based on cashier from multiple facial subgraphs selection target face subgraph；
Geometrical correction device is connect with face detection equipment and liquid crystal display respectively, and reception target face subgraph is simultaneously right
Target face subgraph carries out geometric correction processing to obtain geometric correction image；
Image orbiting facility, connect with geometrical correction device to receive geometric correction image, and image is carried out to geometric correction image
Rotation processing is to obtain rotation image；
Image translation device, connect with image orbiting facility to receive rotation image, and image translation processing is carried out to rotation image
To obtain displacement images；
Image segmentation apparatus is connect with mobile hard disk and image translation device respectively, for receiving pre-set image block size peace
Image is moved, displacement images are split to obtain the segmentation image of pre-set image block size；
Histogram equalization equipment, connect with image segmentation apparatus, for receiving segmentation image and carrying out histogram to segmentation image
Figure equalization processing, to obtain the grey level histogram of segmentation image；
Gaussian smoothing filter equipment is connect with histogram equalization equipment, for receiving grey level histogram and to grey level histogram
Gaussian smoothing filter processing is carried out, to obtain images to be recognized；
Mobile hard disk, for having prestored preset reference face contour and pre-set image block size；
Gradient analysis equipment is connect with Gaussian smoothing filter equipment to receive images to be recognized, to each in images to be recognized
Pixel calculates its gradient direction corresponding thereto in the relative gradient amplitude of surrounding pixel, the gradient direction based on each pixel with
Relative gradient amplitude determines the relative gradient histogram feature of images to be recognized；
Signature analysis equipment connect to receive the relative gradient histogram feature of images to be recognized with gradient analysis equipment, treats
Identify that the relative gradient histogram feature of image carries out Feature Dimension Reduction to obtain the low-dimensional Feature Descriptor of images to be recognized；
Characteristic matching equipment is connect with the face recognition data library of signature analysis equipment and distal end, face recognition data library respectively
The low-dimensional feature of everyone face-image is prestored, the low-dimensional Feature Descriptor of feature based analytical equipment output exists
Matched low-dimensional feature is found in face recognition data library, and using the corresponding piece identity of matched low-dimensional feature as identification identity
Output；
Tdd communication apparatus, for the face recognition by time division duplex communication link establishment characteristic matching equipment and distal end
Connection between database is additionally operable to the fingerprint database by time division duplex communication link establishment fingerprint matching device and distal end
Between connection；
Ling Yang SPCE061A chips are set with liquid crystal display, characteristic matching equipment, fingerprint receiving device and fingerprint matching respectively
Standby connection, when receiving identification identity from characteristic matching equipment, to the customer currently to settle accounts start fingerprint receiving device and
To receive confirmation identity, the customer currently to settle accounts is in the crowd of queuing checkout fingerprint matching device, when identification identity and really
When recognizing identity and being consistent, identification identity and cashier are risen by the value data one of the touch screen input of liquid crystal display
The payment devices of distal end are sent to complete to pay, while being sent to the corresponding E-mail address of identification identity and confirming mail, confirm postal
Part includes customer payment video；
Wherein, preset reference face contour is the figure obtained to benchmark face-image progress contours extract, pre-set image block
Size is selected as the pixel of 45 pixels × 50；
Wherein, liquid crystal display is additionally operable to display word corresponding with identity validation failure signal or identity validation pass signal
Prompt message；
High-definition camera is additionally operable to record customer payment video；
Ling Yang SPCE061A chips send out identity validation failure signal, Ling Yang when identifying identity with confirming that identity is inconsistent
SPCE061A chips send out identity validation pass signal when identifying identity with confirming that identity is consistent；
When Ling Yang SPCE061A chips do not receive identification identity after the first preset time, identity validation failure signal is sent out,
When Ling Yang SPCE061A chips do not receive confirmation identity after the second preset time, identity validation failure signal is sent out；
Wherein, in the face recognition device, it is inherent unique as other biological characteristics of human body that face is utilized
Property and be not easy the characteristic being replicated and carry out identity discriminating, compared with other kinds of bio-identification, recognition of face has following special
Point：Non-imposed, user need not specially coordinate face collecting device, and facial image is just obtained in the state of unconscious；And
Hair property, carries out the sorting, judgement and identification of multiple faces under practical application scene；Visual characteristic：The characteristic of people is known with looks.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810197321.3A CN108460600A (en) | 2016-04-01 | 2016-04-01 | Face payment mechanism based on the identification of fingerprint secondary identities |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810197321.3A CN108460600A (en) | 2016-04-01 | 2016-04-01 | Face payment mechanism based on the identification of fingerprint secondary identities |
| CN201610204674.2A CN105913264B (en) | 2016-04-01 | 2016-04-01 | Face payment mechanism based on the identification of fingerprint secondary identities |
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| CN201610204674.2A Division CN105913264B (en) | 2016-04-01 | 2016-04-01 | Face payment mechanism based on the identification of fingerprint secondary identities |
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|---|---|---|---|---|
| CN108197445A (en) * | 2016-10-11 | 2018-06-22 | 新疆信息产业有限责任公司 | Computer user's identity recognition device and application method |
| CN107016277B (en) * | 2017-04-11 | 2018-08-28 | 北京深思数盾科技股份有限公司 | Information processing method and information safety devices |
| CN108060644A (en) * | 2017-09-14 | 2018-05-22 | 李英 | Multi-layer parking system based on infrared control |
| CN109242494A (en) * | 2018-09-04 | 2019-01-18 | 刘兴丹 | A kind of method, apparatus of cloud verifying brush face payment |
| CN112989879B (en) * | 2019-12-14 | 2022-06-14 | 企标邦知识产权(江苏)有限公司 | Data receiving and transmitting system and method applying characteristic analysis |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104143081A (en) * | 2014-07-07 | 2014-11-12 | 闻泰通讯股份有限公司 | Smile recognition system and method based on mouth features |
| CN105243374B (en) * | 2015-11-02 | 2018-11-20 | 湖南拓视觉信息技术有限公司 | Three-dimensional face identification method, system and the data processing equipment using it |
| CN105205984B (en) * | 2015-11-06 | 2016-04-27 | 国家电网公司 | A kind of logging for UHV transmission line |
| CN105389703A (en) * | 2015-11-10 | 2016-03-09 | 陈雷 | Multi-mode-biological-recognition-based hybrid authentication payment system |
-
2016
- 2016-04-01 CN CN201610204674.2A patent/CN105913264B/en not_active Expired - Fee Related
- 2016-04-01 CN CN201810197321.3A patent/CN108460600A/en not_active Withdrawn
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| Publication number | Publication date |
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| CN105913264B (en) | 2018-05-22 |
| CN105913264A (en) | 2016-08-31 |
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Application publication date: 20180828 |