CN104408616A - Supermarket prepayment method based on three-dimensional face recognition - Google Patents
Supermarket prepayment method based on three-dimensional face recognition Download PDFInfo
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- CN104408616A CN104408616A CN201410684272.8A CN201410684272A CN104408616A CN 104408616 A CN104408616 A CN 104408616A CN 201410684272 A CN201410684272 A CN 201410684272A CN 104408616 A CN104408616 A CN 104408616A
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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
- G06Q20/22—Payment schemes or models
- G06Q20/28—Pre-payment schemes, e.g. "pay before"
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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
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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
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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
- G06V40/168—Feature extraction; Face representation
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Abstract
The invention discloses a supermarket prepayment method based on three-dimensional face recognition. The supermarket prepayment method includes the steps of S01, establishing a prepayment face recognition base; S02, adopting a three-dimensional laser scanner to collect face images; S03, resolving the face images into two-dimensional subgraphs, and converting the two-dimensional subgraphs into graying graphs; S04, performing face image contour extracting on the two-dimensional subgraphs; S05, extracting face image face features from the two-dimensional subgraphs; S06, establishing a three-dimensional face image model; S07, matching the three-dimensional face image model and data of the prepayment face recognition base, if a matching ratio excesses a matching threshold value, entering the supermarket prepayment system, otherwise, the payment fails. The supermarket prepayment method has the advantages that without a shopping card, the three-dimensional face recognition prepayment is realized, three-dimensional face recognition corresponding speed is fast, and safety is high.
Description
Technical field
The invention belongs to intelligent payment technical field, particularly relate to a kind of supermarket prepaid payment method based on three-dimensional face identification.
Background technology
At present, supermarket distribution purchase card, realizes pre-payment by brush purchase card, need terminal magnetic card swiping terminal and purchase card with the use of, purchase card produces economic loss to client after losing.
Summary of the invention
In order to solve prior art problem, the invention provides a kind of supermarket prepaid payment method based on three-dimensional face identification, depart from purchase card itself and realize the payment of three-dimensional face identification pre-payment, three-dimensional face identification corresponding speed is fast, and security performance is high.
The technical solution used in the present invention is: a kind of supermarket prepaid payment method based on three-dimensional face identification, comprises the following steps,
S01, sets up pre-payment recognition of face storehouse: the face master sample view data obtained by three-dimensional laser scanner, is deposited in database by described sample image data, sets up recognition of face storehouse;
S02, three-dimensional laser scanner gathers facial image;
S03, resolves into two-dimentional subgraph by the three-dimensional face images that step S02 obtains, and is converted to gray-scale map;
S04, carries out facial image contours extract to two-dimentional subgraph:
S05, extracts facial image facial characteristics in two-dimentional subgraph;
S06, sets up three-dimensional face graphical model: by polygonal mesh method establishment three-dimensional model, the point on three-dimensional model surface is connected into the grid in units of polygon;
S07, carries out contrast by the three-dimensional face graphical model that step S06 obtains with the data in pre-payment recognition of face storehouse described in step S01 and mates, when matching degree exceedes matching threshold, enter supermarket pre-payment payment system, otherwise, pay unsuccessfully.
View data described in step S01 is cloud data, and scan-data stores with cloud data form, and store black and white facial image, the information of each point comprises three-dimensional space position, relative coordinate system position and half-tone information.
Step S03 comprises the following steps, the different attitudes presented in two dimensional image by different illumination conditions and three-dimensional body, the expression of automatic learning object or training set; Based on sample training method, the image of different countenance is carried out standardization.
Step S03 two dimension subgraph comprises to be faced subgraph, side-looking subgraph and overlooks subgraph;
Step S04 comprises the following steps, and sets up image border grey scale change model, carries out rim detection, extracts facial image profile.
The method of step S06 polygonal mesh adopts sectional linear fitting, at body surface collecting sample point do not need to carry out parametrization to object completely brokenly; Three-dimensional face graphical model comprises for facing subgraph, side-looking subgraph and overlooking subgraph.
Compared with prior art, beneficial effect of the present invention comprises:
The present invention departs from purchase card itself and realizes the payment of three-dimensional face identification pre-payment, and three-dimensional face identification corresponding speed is fast, and security performance is high.
Embodiment
Below in conjunction with specific embodiment, the present invention is further described.
Based on a supermarket prepaid payment method for three-dimensional face identification, comprise the following steps,
S01, sets up pre-payment recognition of face storehouse: the face master sample view data obtained by three-dimensional laser scanner, is deposited in database by described sample image data, sets up recognition of face storehouse; View data is cloud data, and scan-data stores with cloud data form, and store black and white facial image, the information of each point comprises three-dimensional space position, relative coordinate system position and half-tone information.
S02, three-dimensional laser scanner gathers facial image;
S03, resolves into two-dimentional subgraph by the three-dimensional face images that step S02 obtains, and is converted to gray-scale map; By the different attitudes that different illumination conditions and three-dimensional body present in two dimensional image, the expression of automatic learning object or training set; Based on sample training method, the image of different countenance is carried out standardization.
Two dimension subgraph comprises to be faced subgraph, side-looking subgraph and overlooks subgraph.
S04, carries out facial image contours extract to two-dimentional subgraph; Set up image border grey scale change model, carry out rim detection, extract facial image profile.
S05, extracts facial image facial characteristics in two-dimentional subgraph;
S06, sets up three-dimensional face graphical model: by polygonal mesh method establishment three-dimensional model, the point on three-dimensional model surface is connected into the grid in units of polygon; The method of polygonal mesh adopts sectional linear fitting, at body surface collecting sample point do not need to carry out parametrization to object completely brokenly; Three-dimensional face graphical model comprises for facing subgraph, side-looking subgraph and overlooking subgraph.
S07, carries out contrast by the three-dimensional face graphical model that step S06 obtains with the data in pre-payment recognition of face storehouse described in step S01 and mates, when matching degree exceedes matching threshold, enter supermarket pre-payment payment system, otherwise, pay unsuccessfully.
Below be only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (6)
1., based on the supermarket prepaid payment method of three-dimensional face identification, it is characterized in that, comprise the following steps,
S01, sets up pre-payment recognition of face storehouse: the face master sample view data obtained by three-dimensional laser scanner, is deposited in database by described sample image data, sets up recognition of face storehouse;
S02, three-dimensional laser scanner gathers facial image;
S03, resolves into two-dimentional subgraph by the three-dimensional face images that step S02 obtains, and is converted to gray-scale map;
S04, carries out facial image contours extract to two-dimentional subgraph:
S05, extracts facial image facial characteristics in two-dimentional subgraph;
S06, sets up three-dimensional face graphical model: by polygonal mesh method establishment three-dimensional model, the point on three-dimensional model surface is connected into the grid in units of polygon;
S07, carries out contrast by the three-dimensional face graphical model that step S06 obtains with the data in pre-payment recognition of face storehouse described in step S01 and mates, when matching degree exceedes matching threshold, enter supermarket pre-payment payment system, otherwise, pay unsuccessfully.
2. the supermarket prepaid payment method based on three-dimensional face identification according to claim 1, it is characterized in that, view data described in step S01 is cloud data, scan-data stores with cloud data form, store black and white facial image, the information of each point comprises three-dimensional space position, relative coordinate system position and half-tone information.
3. the supermarket prepaid payment method of base three-dimensional face according to claim 1 identification, it is characterized in that, step S03 comprises the following steps, the different attitudes presented in two dimensional image by different illumination conditions and three-dimensional body, the expression of automatic learning object or training set; Based on sample training method, the image of different countenance is carried out standardization.
4. the supermarket prepaid payment method based on three-dimensional face identification according to claim 1, is characterized in that, step S03 two dimension subgraph comprises to be faced subgraph, side-looking subgraph and overlooks subgraph.
5. the supermarket prepaid payment method based on three-dimensional face identification according to claim 1, it is characterized in that, step S04 comprises the following steps, and sets up image border grey scale change model, carries out rim detection, extracts facial image profile.
6. the supermarket prepaid payment method based on three-dimensional face identification according to claim 1, it is characterized in that, step S06 polygonal mesh method adopts sectional linear fitting, at body surface collecting sample point do not need to carry out parametrization to object completely brokenly; Three-dimensional face graphical model comprises for facing subgraph, side-looking subgraph and overlooking subgraph.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410684272.8A CN104408616A (en) | 2014-11-25 | 2014-11-25 | Supermarket prepayment method based on three-dimensional face recognition |
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| CN201410684272.8A CN104408616A (en) | 2014-11-25 | 2014-11-25 | Supermarket prepayment method based on three-dimensional face recognition |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106408633A (en) * | 2016-05-09 | 2017-02-15 | 深圳市微蜂机器认知技术有限公司 | Object imaging method |
| WO2019091118A1 (en) * | 2017-11-10 | 2019-05-16 | Guangdong Kang Yun Technologies Limited | Robotic 3d scanning systems and scanning methods |
| CN110263617A (en) * | 2019-04-30 | 2019-09-20 | 北京永航科技有限公司 | Three-dimensional face model acquisition methods and device |
| CN110706415A (en) * | 2019-10-14 | 2020-01-17 | 重庆国翰能源发展有限公司 | Charging pile control system based on biological recognition and face recognition method thereof |
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| CN110263617B (en) * | 2019-04-30 | 2021-10-22 | 北京永航科技有限公司 | Three-dimensional face model obtaining method and device |
| CN110706415A (en) * | 2019-10-14 | 2020-01-17 | 重庆国翰能源发展有限公司 | Charging pile control system based on biological recognition and face recognition method thereof |
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Application publication date: 20150311 |