CN105912987A - Application method of face payment platform based on iris-assisted identity authentication - Google Patents
Application method of face payment platform based on iris-assisted identity authentication Download PDFInfo
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- G—PHYSICS
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- 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
- G06V40/165—Detection; Localisation; Normalisation using facial parts and geometric relationships
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- 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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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
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- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- 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
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Abstract
The invention relates to a face payment platform based on iris-assisted identity authentication. The face payment platform comprises the face identification equipment, the iris identification equipment, the payment equipment and the main control equipment, wherein the iris identification equipment is used for providing assistance authentication for customer identity identification of the face identification equipment, the main control equipment is separately connected with the face identification equipment, the iris identification equipment and the payment equipment and is used for controlling the payment equipment for payment on the basis of the assisted authentication result. Through the platform, the face payment success rate can be improved, and payment errors can be prevented.
Description
Technical field
The present invention relates to face payment technical field, particularly relate to a kind of face based on iris secondary identities certification
The using method of portion's payment platform.
Background technology
Existing recognition of face payment scheme still suffers from following deficiency: owing to facial characteristics can be due to whole
Hold, the reason such as fat or thin, old and feeble changes, and single dependence facial characteristics completes to pay inevitable
Bring recognition failures and the payment difficulty problem that causes；Wait the possible more than one of client of checkout,
If carrying out face-image segmentation simply, the face-image after segmentation being carried out feature identification, will lead
The problem causing to identify object mistake；And existing facial recognition techniques is excessively simple, testing mechanism falls
After, need to improve to improve facial feature detection precision.
Accordingly, it would be desirable to a kind of new facial payment platform, it is possible in the case of overcoming above-mentioned deficiency,
Smoothly complete payment process based on facial characteristics identification, thus avoid client's economy to incur loss
Under premise, improve customer payment efficiency and speed.
Summary of the invention
In order to solve the problems referred to above, the invention provides a kind of face based on iris secondary identities certification
Payment platform, first after by facial recognition customer identification, uses iris ID authentication device to carry out
Identity validation, it is to avoid situation about by mistake paying occurs, secondly, when the client of queuing checkout is more, right
The face-image of each client in image is all split, and selects actual checkout for cashier
Client carries out follow-up facial characteristics identification, finally, also optimizes facial recognition mechanisms, improves face
The precision identified, thus avoid loaded down with trivial details delivery operation.
According to an aspect of the present invention, it is provided that a kind of face based on iris secondary identities certification pays
Platform, described platform includes facial recognition device, iris identification equipment, payment devices and main control device,
Iris identification equipment provides assistant authentification for the customer identification identification for facial recognition device, and master control sets
Back-up is not connected with facial recognition device, iris identification equipment and payment devices, for recognizing based on auxiliary
The payment of the output control payment devices of card.
More specifically, in described facial payment platform based on iris secondary identities certification, including:
Payment devices, is connected with MSP430 single-chip microcomputer, is used for receiving identity information and payment to complete
Pay；Iris receives equipment, for gathering the iris information of client；Iris matching unit, respectively with
Iris receives the iris database of equipment and far-end and connects, and iris database has prestored everyone
Iris feature, based on iris receive equipment output iris information iris database find coupling
Iris feature, and using piece identity corresponding for the iris feature of coupling as confirming identity output；CMOS
Visual sensing equipment, is arranged on above cashier, for shooting to obtain to the crowd of queuing checkout
Obtaining high definition crowd's image, the resolution of high definition crowd's image is 3840 × 2160；Face detection equipment,
It is connected with TF storage device and CMOS visual sensing equipment respectively, is used for receiving high definition crowd's image
With preset reference face contour, match many in high definition crowd's image based on preset reference face contour
Individual face subimage；Display device, is connected to receive with face detection equipment and shows multiple face
Image, display device is also with touch screen, with input based on cashier from multiple face subimages
Select target face subimage；Mean filter equipment, connects with display device and face detection equipment respectively
Connect, be used for receiving target face subimage and target face subimage being carried out mean filter process, with
Obtain corresponding mean filter image；Histogram equalization equipment, is connected with mean filter equipment, uses
In receiving mean filter image and mean filter image being carried out histogram equalization process, to obtain all
The grey level histogram of value filtering image；Illumination compensation equipment, respectively with TF storage device and rectangular histogram
Equalization equipment connects, and is used for receiving grey level histogram, pre-set image average and pre-set image variance,
Grey level histogram is carried out image correction so that the image average of image is equal to pre-set image after Xiu Zhenging
After average and correction, the image variance of image is equal to pre-set image variance；Normalized equipment, respectively
It is connected with TF storage device and illumination compensation equipment, after being used for receiving presetted pixel block size and revising
Image, orients the position of right eye in face after correction in image, point on the basis of right eye position,
Image marks off after revising the image to be identified with presetted pixel block size；TF storage device,
For having prestored preset reference face contour, pre-set image average, pre-set image variance and having preset
Block of pixels size, be additionally operable to have prestored preset reference eye profile, preset reference nasal contours and
Preset reference mouth profile；Eye splitting equipment, sets with TF storage device and normalized respectively
Standby connection, to receive preset reference eye profile and image to be identified, exists based on preset reference eye profile
Image to be identified is partitioned into eye subimage；Forehead splitting equipment, respectively with eye splitting equipment and
Normalized equipment connects to receive eye subimage and image to be identified, exists based on eye subimage
Position in image to be identified, by more than eye subimage in image to be identified image section split with
Obtain forehead subimage；Nose splitting equipment, respectively with TF storage device and normalized equipment
Connect to receive preset reference nasal contours and image to be identified, treating based on preset reference nasal contours
Identify in image and be partitioned into nose image；Mouth splitting equipment, respectively with TF storage device and returning
One changes processing equipment connects to receive preset reference mouth profile and image to be identified, based on preset reference
Mouth profile is partitioned into mouth subimage in image to be identified；Chin splitting equipment, respectively with mouth
Splitting equipment and normalized equipment connect to receive mouth subimage and image to be identified, based on mouth
Portion's subimage position in image to be identified, by the image below mouth subimage in image to be identified
Part segmentation is to obtain chin subimage；Feature analysis equipment, respectively with eye splitting equipment, forehead
Splitting equipment, nose splitting equipment, mouth splitting equipment and chin splitting equipment connect, and determine eye
The coordinate that in subimage, eye feature point is positioned in image to be identified, to export as eye coordinate, determines
Coordinate during forehead characteristic point is positioned at image to be identified in forehead subimage using as forehead coordinate export,
Determine that the coordinate during nose characteristic point is positioned at image to be identified in nose image is using as nose coordinate
Output, determines that coordinate that in mouth subimage, mouth feature point is positioned in image to be identified is using as mouth
Coordinate exports, determine coordinate during chin characteristic point is positioned at image to be identified in chin subimage using as
Chin coordinate exports；Characteristic matching equipment, respectively with the facial recognition number of feature analysis equipment and far-end
Connecting according to storehouse, face recognition data storehouse has prestored each characteristic point of everyone face-image
Coordinate in the face-image of place, feature based analytical equipment output eye coordinate, forehead coordinate,
Nose coordinate, mouth coordinate and chin coordinate are found and images match to be identified in face recognition data storehouse
Spend the highest face-image, and by personage corresponding for the face-image the highest with images match degree to be identified
Identity is as identifying identity output；GPRS communication equipment, for setting up by GPRS communication link
Connection between the face recognition data storehouse of characteristic matching equipment and far-end, is additionally operable to be led to by GPRS
Connection between letter link establishment iris matching unit and the iris database of far-end；MSP430 monolithic
Machine, receives equipment with display device, characteristic matching equipment, iris respectively and iris matching unit is connected,
When receiving identification identity at characteristic matching equipment, the client to current checkout starts iris and receives
Equipment and iris matching unit confirm identity to receive, and the client of current checkout is in the people of queuing checkout
In Qun, when identifying identity with when confirming that identity is consistent, identification identity and cashier are set by display
The value data of standby touch screen input is sent collectively to the payment devices of far-end to complete to pay, simultaneously
To the E-mail address transmission confirmation mail identifying that identity is corresponding, confirm that mail includes that customer payment regards
Frequently；Wherein, preset reference face contour is that benchmark face-image is carried out the figure that contours extract obtains
Shape, pre-set image average elects 140 as, and pre-set image variance elects 50 as, and presetted pixel block size is elected as
60 pixel × 65 pixels；Wherein, preset reference eye profile is for carry out profile to benchmark eyes image
Extracting and the figure that obtains, preset reference nasal contours for carrying out contours extract to benchmark nose image
The figure obtained, preset reference mouth profile is benchmark mouth image to be carried out contours extract and obtains
Figure.
More specifically, in described facial payment platform based on iris secondary identities certification: CMOS
Visual sensing equipment is additionally operable to record customer payment video.
More specifically, in described facial payment platform based on iris secondary identities certification: MSP430
When single-chip microcomputer does not receives identification identity after the first Preset Time, send identity validation failure signal,
When MSP430 single-chip microcomputer does not receives confirmation identity after the second Preset Time, send identity validation and lose
Lose signal.
More specifically, in described facial payment platform based on iris secondary identities certification: MSP430
Single-chip microcomputer, when identifying that identity is inconsistent with confirmation identity, sends identity validation failure signal,
MSP430 single-chip microcomputer, when identifying that identity is consistent with confirmation identity, sends identity validation pass signal.
More specifically, in described facial payment platform based on iris secondary identities certification, also include:
Two-way speaker, is connected with MSP430 single-chip microcomputer, for play with identity validation failure signal or
The voice prompted file that identity validation pass signal is corresponding.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is to pay according to the face based on iris secondary identities certification shown in embodiment of the present invention
The block diagram of platform.
Reference: 1 facial recognition device；2 iris identification equipments；3 payment devices；4 master controls
Equipment
Detailed description of the invention
Facial payment platform based on iris secondary identities certification to the present invention below with reference to accompanying drawings
Embodiment be described in detail.
Currently, facial recognition pays and there is also certain drawback, such as, owing to face exists alterable
Property, it is thus possible to there is the situation identifying mistake, and the validation testing that above-mentioned facial recognition pays is simply
Simply pressing " OK " acknowledgement key, client cannot see whether that facial recognition has occurred that misrecognition,
At this moment paying if carried out checkout, the account of other clients may incur loss；The most such as, queuing up
When the client of checkout is more, facial recognition mode based on image detection may be by the face of other clients
Image is as identifying target；The most such as, the concrete facial characteristics recognition mode that above-mentioned facial recognition pays
Excessively simple, it is easily caused accuracy of identification the highest.
In order to overcome above-mentioned deficiency, the present invention has built a kind of face based on iris secondary identities certification
Payment platform, fundamentally solves above-mentioned technical problem, it is possible to improving facial recognition payment result
Accuracy while, improve pay efficiency, it is ensured that the account number safety of each client.
Fig. 1 is to pay according to the face based on iris secondary identities certification shown in embodiment of the present invention
The block diagram of platform, described platform includes that facial recognition device, iris identification equipment, payment set
Standby and main control device, iris identification equipment is for providing auxiliary for the customer identification identification of facial recognition device
Helping certification, main control device is connected with facial recognition device, iris identification equipment and payment devices respectively,
Payment for output control payment devices based on assistant authentification.
Then, the concrete of the facial payment platform based on iris secondary identities certification to the present invention is continued
Structure is further detailed.
Described platform includes: payment devices, is connected with MSP430 single-chip microcomputer, is used for receiving identity letter
Breath and payment are to complete to pay；Iris receives equipment, for gathering the iris information of client；Rainbow
Film matching unit, the iris database receiving equipment and far-end respectively with iris is connected, iris database
Prestore everyone iris feature, receive the iris information of equipment output at rainbow based on iris
Film data base finds the iris feature of coupling, and using piece identity corresponding for the iris feature of coupling as
Confirm identity output.
Described platform includes: CMOS visual sensing equipment, is arranged on above cashier, for row
The crowd of team's checkout carries out shooting to obtain high definition crowd's image, and the resolution of high definition crowd's image is
3840×2160；Face detection equipment, respectively with TF storage device and CMOS visual sensing equipment
Connect, be used for receiving high definition crowd's image and preset reference face contour, take turns based on preset reference face
Exterior feature matches multiple face subimage in high definition crowd's image；Display device, detects equipment with face
Connecting to receive and show multiple face subimage, display device is also with touch screen, with based on cash register
The input of member selects target face subimage from multiple face subimages.
Described platform includes: mean filter equipment, is connected with display device and face detection equipment respectively,
For receiving target face subimage and target face subimage being carried out mean filter process, to obtain
Corresponding mean filter image；Histogram equalization equipment, is connected with mean filter equipment, is used for connecing
Receive mean filter image and mean filter image is carried out histogram equalization process, to obtain average filter
The grey level histogram of ripple image.
Described platform includes: illumination compensation equipment, respectively with TF storage device and histogram equalization
Equipment connects, and is used for receiving grey level histogram, pre-set image average and pre-set image variance, to gray scale
Rectangular histogram carry out image correction so that after Xiu Zhenging the image average of image equal to pre-set image average and
After correction, the image variance of image is equal to pre-set image variance；Normalized equipment, respectively with TF
Storage device and illumination compensation equipment connect, image after being used for receiving presetted pixel block size and revising,
Orienting the position of right eye in face after correction in image, point on the basis of right eye position, from correction
Rear image marks off the image to be identified with presetted pixel block size.
Described platform includes: TF storage device, is used for having prestored preset reference face contour, pre-
If image average, pre-set image variance and presetted pixel block size, it is additionally operable to prestore default base
Quasi-eye profile, preset reference nasal contours and preset reference mouth profile；Eye splitting equipment, point
It is not connected with TF storage device and normalized equipment to receive preset reference eye profile and waits to know
Other image, is partitioned into eye subimage based on preset reference eye profile in image to be identified；Forehead
Splitting equipment, is connected with eye splitting equipment and normalized equipment to receive eye subimage respectively
With image to be identified, based on eye subimage position in image to be identified, by image to be identified
Image section more than eye subimage is split to obtain forehead subimage.
Described platform includes: nose splitting equipment, sets with TF storage device and normalized respectively
Standby connection, to receive preset reference nasal contours and image to be identified, exists based on preset reference nasal contours
Image to be identified is partitioned into nose image；Mouth splitting equipment, respectively with TF storage device and
Normalized equipment connects to receive preset reference mouth profile and image to be identified, based on default base
Quasi-mouth profile is partitioned into mouth subimage in image to be identified；Chin splitting equipment, respectively with mouth
Portion's splitting equipment and normalized equipment connect to receive mouth subimage and image to be identified, based on
Mouth subimage position in image to be identified, by the figure below mouth subimage in image to be identified
As part segmentation is to obtain chin subimage.
Described platform includes: feature analysis equipment, respectively with eye splitting equipment, forehead splitting equipment,
Nose splitting equipment, mouth splitting equipment and chin splitting equipment connect, and determine eye in eye subimage
The coordinate that portion's characteristic point is positioned in image to be identified, to export as eye coordinate, determines forehead subimage
The coordinate that middle forehead characteristic point is positioned in image to be identified, to export as forehead coordinate, determines nose
Coordinate during nose characteristic point is positioned at image to be identified in image, to export as nose coordinate, determines mouth
The coordinate that in portion's subimage, mouth feature point is positioned in image to be identified is to export as mouth coordinate, really
Fix the coordinate during chin characteristic point is positioned at image to be identified in bar subimage using defeated as chin coordinate
Go out.
Described platform includes: characteristic matching equipment, and the face with feature analysis equipment and far-end is known respectively
Other data base connects, and face recognition data storehouse has prestored each spy of everyone face-image
Levy the coordinate a little in the face-image of place, the eye coordinate of feature based analytical equipment output, forehead
Coordinate, nose coordinate, mouth coordinate and chin coordinate are found and figure to be identified in face recognition data storehouse
As the face-image that matching degree is the highest, and by corresponding for the face-image the highest with images match degree to be identified
Piece identity as identify identity output.
Described platform includes: GPRS communication equipment, for setting up feature by GPRS communication link
Connection between the face recognition data storehouse of matching unit and far-end, is additionally operable to by GPRS communication chain
The connection between iris matching unit and the iris database of far-end is set up on road.
Described platform includes: MSP430 single-chip microcomputer, respectively with display device, characteristic matching equipment,
Iris receives equipment and iris matching unit connects, when receiving identification identity at characteristic matching equipment
Time, the client to current checkout starts iris and receives equipment and iris matching unit to receive confirmation body
Part, the client of current checkout is in the crowd of queuing checkout, when identifying identity and confirming that identity is consistent
During conjunction, the value data one identifying identity and the cashier touch screen input by display device is risen
Deliver to the payment devices of far-end to complete to pay, simultaneously to identifying that E-mail address corresponding to identity sends really
Recognize mail, confirm that mail includes customer payment video.
Wherein, preset reference face contour is that benchmark face-image is carried out the figure that contours extract obtains
Shape, pre-set image average elects 140 as, and pre-set image variance elects 50 as, and presetted pixel block size is elected as
60 pixel × 65 pixels；Preset reference eye profile for benchmark eyes image being carried out contours extract and
The figure obtained, preset reference nasal contours is benchmark nose image to be carried out contours extract and obtains
Figure, preset reference mouth profile is that benchmark mouth image is carried out the figure that contours extract obtains.
Alternatively, in described platform: CMOS visual sensing equipment is additionally operable to record customer payment and regards
Frequently；When MSP430 single-chip microcomputer does not receives identification identity after the first Preset Time, send identity true
Recognize failure signal, when MSP430 single-chip microcomputer does not receives confirmation identity after the second Preset Time, send out
Go out identity validation failure signal；MSP430 single-chip microcomputer identify identity with confirm identity inconsistent time,
Send identity validation failure signal, MSP430 single-chip microcomputer identify identity with confirmation identity be consistent time,
Send identity validation pass signal；Described platform can also include two-way speaker, with MSP430
Single-chip microcomputer connects, for playing the language corresponding with identity validation failure signal or identity validation pass signal
Sound prompting file.
It addition, the abbreviation of general packet radio service technology (General Packet Radio Service),
He be gsm mobile telephone user can a kind of mobile data services.GPRS can say it is GSM
Continuity.GPRS, with the most different in the mode of channel transmission, is to come with package (Packet) formula
Transmission, the expense that therefore user is born is to calculate with its data transmission unit, and non-usage it is whole
Individual channel, the most inexpensively.The transfer rate of GPRS can be promoted to 56 even 114Kbps.
GPRS is often described as " 2.5G ", say, that this technology is positioned at the second filial generation (2G)
And between the third generation (3G) mobile communication technology.He is untapped by utilizing in GSM network
TDMA channel, it is provided that the data transmission of middling speed.GPRS breaches GSM net can only provide circuit
The mode of thinking of exchange, only by increasing corresponding functional entity and existing base station system being carried out portion
Dividing transformation to realize packet switch, the input of this transformation is the most little comparatively speaking, but the user obtained
Data rate is the most considerable.And, because the intermediary required for being no longer necessary to existing wireless application turns
Parallel operation, thus connect and transmission all can more convenient easily.So, user both can connect to the internet, ginseng
Add the interactive communications such as video conference, and the user of (VRN) on same video communication network, very
To can without passing through to dial up on the telephone, and continue connected to the network.
The communication mode of GPRS packet switch is in the communication mode of packet switch, and data are divided into one
The bag (packet) of measured length, (address mark therein indicates a packets headers before each bag
Where is mail in this packet).Data are not required to allocate in advance channel before transmitting, set up and connect.And
It is when each packet arrives, according to the information (such as destination address) in datagram header, temporarily
Find an available channel resource this datagram to be sent.In this load mode, data
Transmission and recipient's cochannel between the not fixing relation that takies, channel resource can be regarded as by
All of user shares and uses.A kind of burst is the most all shown due to data service
Property business characteristic, relatively big to the changes in demand of channel width, therefore use packet mode to carry out data
Transmission can better profit from channel resource.Such as one carries out the user that WWW browses, big portion
It is in browse state between timesharing, and the time really transmitted for data only accounts for very small scale.This feelings
According to the mode of fixing busy channel under condition, it will cause the bigger wasting of resources.
Use the facial payment platform based on iris secondary identities certification of the present invention, for prior art
The technical problem that facial recognition payment devices is the most perfect, by strengthening payment devices and right
Paying link and carry out perfect, improve the precision of facial recognition mechanisms itself, iris assists in identifying and sets simultaneously
Standby introducing helps facial recognition to pay the situation generation avoiding by mistake paying.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-mentioned enforcement
Example is not limited to the present invention.For any those of ordinary skill in the art, without departing from
Under technical solution of the present invention ambit, all may utilize the technology contents of the disclosure above to the technology of the present invention
Scheme makes many possible variations and modification, or is revised as the Equivalent embodiments of equivalent variations.Therefore,
Every content without departing from technical solution of the present invention, the technical spirit of the foundation present invention is to above example
Any simple modification, equivalent variations and the modification done, all still falls within technical solution of the present invention protection
In the range of.
Claims (6)
1. a using method for facial payment platform based on iris secondary identities certification, the method
Including:
1) providing a kind of facial payment platform based on iris secondary identities certification, described platform includes
Facial recognition device, iris identification equipment, payment devices and main control device, iris identification equipment is used for
For facial recognition device customer identification identification provide assistant authentification, main control device respectively with facial recognition
Equipment, iris identification equipment and payment devices connect, and pay for output control based on assistant authentification
The payment of equipment；
2) this platform is used.
2. the method for claim 1, it is characterised in that described platform includes:
Payment devices, is connected with MSP430 single-chip microcomputer, be used for receiving identity information and payment with
Complete to pay；
Iris receives equipment, for gathering the iris information of client；
Iris matching unit, the iris database receiving equipment and far-end respectively with iris is connected, iris
Data base has prestored everyone iris feature, receives the iris letter of equipment output based on iris
Cease the iris feature finding coupling at iris database, and by personage's body corresponding for the iris feature of coupling
Part is as confirming identity output；
CMOS visual sensing equipment, is arranged on above cashier, for entering the crowd of queuing checkout
Row shooting is to obtain high definition crowd's image, and the resolution of high definition crowd's image is 3840 × 2160；
Face detection equipment, is connected with TF storage device and CMOS visual sensing equipment respectively, uses
In receiving high definition crowd's image and preset reference face contour, based on preset reference face contour in high definition
Crowd's image matches multiple face subimage；
Display device, is connected to receive with face detection equipment and shows multiple face subimage, display
Equipment also with touch screen, selects target face with input based on cashier from multiple face subimages
Portion's subimage；
Mean filter equipment, is connected with display device and face detection equipment respectively, is used for receiving target
Face subimage also carries out mean filter process to target face subimage, to obtain corresponding average filter
Ripple image；
Histogram equalization equipment, is connected with mean filter equipment, is used for receiving mean filter image also
Mean filter image is carried out histogram equalization process, to obtain the intensity histogram of mean filter image
Figure；
Illumination compensation equipment, is connected with TF storage device and histogram equalization equipment respectively, is used for
Receive grey level histogram, pre-set image average and pre-set image variance, grey level histogram is carried out image
Revise so that the image average of image is equal to the figure of image after pre-set image average and correction after Xiu Zhenging
Image space difference is equal to pre-set image variance；
Normalized equipment, is connected with TF storage device and illumination compensation equipment respectively, is used for connecing
Image after receiving presetted pixel block size and revising, orients the position of right eye in face after correction in image
Put, point on the basis of right eye position, after revising, image marks off and there is presetted pixel block size
Image to be identified；
TF storage device, is used for having prestored preset reference face contour, pre-set image average, pre-
If image variance and presetted pixel block size, it is additionally operable to have prestored preset reference eye profile, pre-
If benchmark nasal contours and preset reference mouth profile；
Eye splitting equipment, is connected to receive pre-respectively with TF storage device and normalized equipment
If benchmark eye profile and image to be identified, divide in image to be identified based on preset reference eye profile
Cut out eye subimage；
Forehead splitting equipment, is connected to receive eye with eye splitting equipment and normalized equipment respectively
Portion's subimage and image to be identified, based on eye subimage position in image to be identified, will wait to know
In other image, image section more than eye subimage is split to obtain forehead subimage；
Nose splitting equipment, is connected to receive pre-respectively with TF storage device and normalized equipment
If benchmark nasal contours and image to be identified, divide in image to be identified based on preset reference nasal contours
Cut out nose image；
Mouth splitting equipment, is connected to receive pre-respectively with TF storage device and normalized equipment
If benchmark mouth profile and image to be identified, divide in image to be identified based on preset reference mouth profile
Cut out mouth subimage；
Chin splitting equipment, is connected to receive mouth with mouth splitting equipment and normalized equipment respectively
Portion's subimage and image to be identified, based on mouth subimage position in image to be identified, will wait to know
In other image, the image section below mouth subimage is split to obtain chin subimage；
Feature analysis equipment, respectively with eye splitting equipment, forehead splitting equipment, nose splitting equipment,
Mouth splitting equipment and chin splitting equipment connect, and determine in eye subimage that eye feature point is positioned at and treat
Identify that the coordinate in image, to export as eye coordinate, determines forehead characteristic point position in forehead subimage
Coordinate in image to be identified, to export as forehead coordinate, determines nose feature in nose image
The coordinate that point is positioned in image to be identified, to export as nose coordinate, determines mouth in mouth subimage
The coordinate that characteristic point is positioned in image to be identified, to export as mouth coordinate, determines in chin subimage
The coordinate that chin characteristic point is positioned in image to be identified is to export as chin coordinate；
Characteristic matching equipment, is connected with the face recognition data storehouse of feature analysis equipment and far-end respectively,
Face recognition data storehouse has prestored each characteristic point of everyone face-image in face, place
Coordinate in portion's image, the eye coordinate of feature based analytical equipment output, forehead coordinate, nose are sat
Mark, mouth coordinate and chin coordinate are found the highest with images match degree to be identified in face recognition data storehouse
Face-image, and piece identity corresponding for the face-image the highest with images match degree to be identified is made
For identifying identity output；
GPRS communication equipment, for setting up characteristic matching equipment and far-end by GPRS communication link
Face recognition data storehouse between connection, be additionally operable to by GPRS communication link set up iris mate
Connection between equipment and the iris database of far-end；
MSP430 single-chip microcomputer, respectively with display device, characteristic matching equipment, iris receive equipment and
Iris matching unit connects, when receiving identification identity at characteristic matching equipment, to current checkout
Client start iris and receive equipment and iris matching unit and confirm identity to receive, the Gu of current checkout
Visitor is in the crowd of queuing checkout, when identifying identity with when confirming that identity is consistent, will identify identity
With the payment that cashier is sent collectively to far-end by the value data that the touch screen of display device inputs
Equipment, to complete to pay, simultaneously to the E-mail address transmission confirmation mail identifying that identity is corresponding, confirms postal
Part includes customer payment video；
Wherein, preset reference face contour is that benchmark face-image is carried out the figure that contours extract obtains
Shape, pre-set image average elects 140 as, and pre-set image variance elects 50 as, and presetted pixel block size is elected as
60 pixel × 65 pixels；
Wherein, preset reference eye profile is that benchmark eyes image is carried out the figure that contours extract obtains
Shape, preset reference nasal contours is that benchmark nose image is carried out the figure that contours extract obtains, in advance
If benchmark mouth profile is that benchmark mouth image is carried out the figure that contours extract obtains.
3. method as claimed in claim 2, it is characterised in that:
CMOS visual sensing equipment is additionally operable to record customer payment video.
4. method as claimed in claim 2, it is characterised in that:
When MSP430 single-chip microcomputer does not receives identification identity after the first Preset Time, send identity true
Recognize failure signal, when MSP430 single-chip microcomputer does not receives confirmation identity after the second Preset Time, send out
Go out identity validation failure signal.
5. method as claimed in claim 2, it is characterised in that:
MSP430 single-chip microcomputer, when identifying that identity is inconsistent with confirmation identity, sends identity validation and loses
Losing signal, MSP430 single-chip microcomputer, when identifying that identity is consistent with confirmation identity, sends identity validation
Pass signal.
6. method as claimed in claim 2, it is characterised in that also include:
Two-way speaker, is connected with MSP430 single-chip microcomputer, unsuccessfully believes with identity validation for playing
Number or voice prompted file corresponding to identity validation pass signal.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109190509A (en) * | 2018-08-13 | 2019-01-11 | 阿里巴巴集团控股有限公司 | A kind of personal identification method, device and computer readable storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204667465U (en) * | 2015-02-28 | 2015-09-23 | 优化科技（苏州）有限公司 | Pay true man's live body authentication system by mails |
| CN204680060U (en) * | 2015-04-13 | 2015-09-30 | 济南舜软信息科技有限公司 | The identification of Network Based and biological characteristic and payment mechanism |
| CN105095917A (en) * | 2015-08-31 | 2015-11-25 | 小米科技有限责任公司 | Image processing method, device and terminal |
| CN105279972A (en) * | 2015-10-27 | 2016-01-27 | 成都千帆科技开发有限公司 | Barrier device with mobile phone information identifying and license plate identification camera |
| CN105391682A (en) * | 2014-08-29 | 2016-03-09 | 三星电子株式会社 | Authentication method and apparatus using biometric information and context information |
-
2016
- 2016-04-01 CN CN201610204227.7A patent/CN105912987A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105391682A (en) * | 2014-08-29 | 2016-03-09 | 三星电子株式会社 | Authentication method and apparatus using biometric information and context information |
| CN204667465U (en) * | 2015-02-28 | 2015-09-23 | 优化科技（苏州）有限公司 | Pay true man's live body authentication system by mails |
| CN204680060U (en) * | 2015-04-13 | 2015-09-30 | 济南舜软信息科技有限公司 | The identification of Network Based and biological characteristic and payment mechanism |
| CN105095917A (en) * | 2015-08-31 | 2015-11-25 | 小米科技有限责任公司 | Image processing method, device and terminal |
| CN105279972A (en) * | 2015-10-27 | 2016-01-27 | 成都千帆科技开发有限公司 | Barrier device with mobile phone information identifying and license plate identification camera |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109190509A (en) * | 2018-08-13 | 2019-01-11 | 阿里巴巴集团控股有限公司 | A kind of personal identification method, device and computer readable storage medium |
| US10776646B2 (en) | 2018-08-13 | 2020-09-15 | Alibaba Group Holding Limited | Identification method and apparatus and computer-readable storage medium |
| US11126878B2 (en) | 2018-08-13 | 2021-09-21 | Advanced New Technologies Co., Ltd. | Identification method and apparatus and computer-readable storage medium |
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