CN110969438A - Face recognition payment system and equipment thereof - Google Patents

Face recognition payment system and equipment thereof Download PDF

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Publication number
CN110969438A
CN110969438A CN201811154091.9A CN201811154091A CN110969438A CN 110969438 A CN110969438 A CN 110969438A CN 201811154091 A CN201811154091 A CN 201811154091A CN 110969438 A CN110969438 A CN 110969438A
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payment
face recognition
client
camera
verification
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CN201811154091.9A
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郑伊博
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Shenzhen Yishi Technology Co ltd
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Shenzhen Yishi Technology Co ltd
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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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • 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
    • G06V40/165—Detection; Localisation; Normalisation using facial parts and geometric relationships
    • 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
    • G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/193—Preprocessing; Feature extraction

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Abstract

The invention discloses a face recognition payment system and equipment thereof, wherein the face recognition payment system comprises a base, the upper end of the base is connected with a support, the upper end of the support is connected with a liquid crystal touch display screen, the back of the liquid crystal touch display screen is provided with a circuit board and a processor, and the upper end of the liquid crystal touch display screen is provided with a QR code scanning camera and a biological camera; the depth camera, the iris collecting camera and the infrared sensor are combined into the biological camera, the camera can collect iris information of human eyes and three-dimensional face information, the accuracy is greatly improved compared with that of two-dimensional face information, a touch liquid crystal display screen is arranged in the same direction of the camera, and a user can carry out verification operation. When the user can not provide the two-dimensional code for payment operation, the face recognition eliminates the inconvenience caused by the face recognition. Compared with other face recognition payment devices, the face recognition payment method has extremely high accuracy, namely higher user experience, and is more advantageous for the future quick payment market.

Description

Face recognition payment system and equipment thereof
Technical Field
The invention belongs to the field of quick payment, and particularly relates to a face recognition payment system. Meanwhile, the invention also relates to face recognition payment equipment.
Background
The closest product on the market at present is a two-dimensional code scanning payment device used by shops. The payment scanning equipment and the two-dimensional code scanning have quite different information processing modes on the technical level. At present, some face recognition payment devices in development use a network platform to upload a face picture of a user to a database, and store the face picture after analyzing a code, and when the user scans and pays the face in a shop, the devices are matched with the database to complete payment operation. The invention has the main defects that the collected face photos can only provide two-dimensional image information, and when the face photos are put into practical application in the market, the face photos have great misjudgment rate, so that the payment is unsuccessful, and particularly, if the twin with similar growth and growth is analyzed through the two-dimensional images, the face appearance characteristics are difficult to distinguish.
Disclosure of Invention
The present invention is directed to a face recognition payment system and a device thereof, which solve the problems of the background art mentioned above.
In order to achieve the purpose, the invention provides the following technical scheme:
a face recognition payment system comprises a client and a server
The method comprises the steps that a client acquires image data and prompts whether infrared light supplement is needed or not, a robot learning model captures the position of a human face, a human face screenshot and a depth information screenshot are uploaded to a server, the server verifies identity card information, a payment confirming page is displayed after the server verifies the identity card information successfully, payment is completed by selecting second verification after the payment is confirmed, the client acquires a picture from the server, a user selects a preset picture displayed on the client, and the payment is completed after the user selects a correct picture;
the server receives the face screenshot and the depth information and then conducts image preprocessing to obtain iris images and feature points, the feature points comprise eyes, eyebrows, cheekbones, noses, mouths and chin, the face identity is distinguished by deep learning through a neural network, iris information is checked, an identity verification result is sent to the client, a picture group is sent to the client after the client carries out second verification, and a user selects a correct picture to complete verification and payment.
Preferably, when the client chooses not to perform the second verification, the payment completion is directly displayed, and the server directly completes the verification and the payment after receiving the information that the client chooses not to perform the second verification.
Preferably, the number of pictures in the group of pictures sent by the second authentication server to the client is not less than six.
The utility model provides a face holds discernment payment equipment, includes the base, base upper end linking bridge, the liquid crystal touch-control display screen is connected to the upper end of support, and the back of liquid crystal touch-control display screen sets up circuit board and treater, and the upper end of liquid crystal touch-control display screen is equipped with QRCode and scans camera and biological camera.
Preferably, the middle part of the bracket is provided with a joint lock for adjusting the height of the bracket.
Preferably, one side of the base is connected with a data line connected with the PC end, and the data line is connected with a circuit board at the back of the liquid crystal touch display screen.
Compared with the prior art, the invention has the beneficial effects that: the invention combines the depth camera, the iris collecting camera and the infrared sensor into the biological camera, the camera can collect iris information of human eyes and three-dimensional face information, compared with two-dimensional face information, the accuracy is greatly improved, and the invention has larger adaptive space to illumination environment. And a touch liquid crystal display screen is arranged in the same direction of the camera, so that a user can carry out verification operation. Compare in current two-dimensional code and sweep sign indicating number payment equipment, our product has improved the convenient degree of user payment mode greatly, and the user can't provide the two-dimensional code and carry out the payment operation under the condition that the cell-phone does not have the electricity, loses or can't open, and face recognition has then eliminated the inconvenience that this aspect caused. Compared with other face recognition payment devices, the face recognition payment method has extremely high accuracy, namely higher user experience, and is more advantageous for the future quick payment market.
Drawings
FIG. 1 is a flow diagram of a client system of the present invention;
FIG. 2 is a flow chart of a server system of the present invention;
FIG. 3 is a schematic structural diagram of a face recognition payment device of the present invention;
fig. 4 is a registration flow diagram of the present invention.
In the figure: 1 biological camera, 2QR code scanning camera, 3 liquid crystal touch display screen, 4 supports, 5 joint locks, 6 bases, 7 data lines.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
A face recognition payment system comprises a client and a server
The method comprises the steps that a client acquires image data and prompts whether infrared light supplement is needed or not, a robot learning model captures the position of a human face, a human face screenshot and a depth information screenshot are uploaded to a server, the server verifies identity card information, a payment confirming page is displayed after the server verifies the identity card information successfully, payment is completed by selecting second verification after the payment is confirmed, the client acquires a picture from the server, a user selects a preset picture displayed on the client, and the payment is completed after the user selects a correct picture;
the server receives the face screenshot and the depth information and then conducts image preprocessing to obtain iris images and feature points, the feature points comprise eyes, eyebrows, cheekbones, noses, mouths and chin, the face identity is distinguished by deep learning through a neural network, iris information is checked, an identity verification result is sent to the client, a picture group is sent to the client after the client carries out second verification, and a user selects a correct picture to complete verification and payment.
Specifically, when the client chooses not to perform the second verification, the payment completion is directly displayed, and the server directly completes the verification and the payment after receiving the information that the client chooses not to perform the second verification.
Specifically, the number of pictures in the picture group sent to the client by the second authentication server is not less than six.
The utility model provides a face recognition payment equipment, includes base 6, 6 upper ends linking bridge 4 of base, liquid crystal touch-control display screen 3 is connected to the upper end of support 4, and liquid crystal touch-control display screen 3's back sets up circuit board and treater, and liquid crystal touch-control display screen 3's upper end is equipped with QR code scanning camera 2 and biological camera 1, still has infrared sensor and iris scanning camera's interface.
Specifically, the middle part of the bracket 4 is provided with a joint lock 5 for adjusting the height of the bracket.
Specifically, one side of the base 6 is connected with a data line 7 connected with a PC end, and the data line 7 is connected with a circuit board at the back of the liquid crystal touch display screen 3.
And (3) registration process: the face recognition payment equipment is provided with a camera for scanning a two-dimensional code, and the purpose is that for customers who cannot enter face information on a mobile phone client in advance, the customers can register users on mobile phone software firstly, then the software can generate the two-dimensional code, the users can find the face payment equipment in a shop with the two-dimensional code and can realize quick registration by scanning the two-dimensional code in the software by a machine, and the face information is entered by using the face recognition camera on the equipment in the shop.
The invention pushes the rapid payment mode on the market to a new step, replaces the traditional mobile phone two-dimensional code scanning payment mode, and realizes face recognition payment by utilizing more advanced biological recognition technology. The main body of the invention consists of three main parts: the device comprises a face recognition camera, a liquid crystal touch display screen and a two-dimensional code recognition camera. The client faces the camera, the operation is carried out through the prompt of the display screen, the display screen can show the image of the user in the camera after the face recognition payment is confirmed, the user can better aim at the camera in the aspect, meanwhile, the operation of secondary confirmation is carried out, and the misjudgment caused by excessive faces around is prevented. The face recognition camera collects three-dimensional face feature information and iris information of a user, the three-dimensional face feature information and the iris information are matched with the database, and payment can be completed after the matching is passed. In addition, the user can add a self-defined third verification, namely public private verification information is sent to the database through a network platform or mobile phone software, the verification information can be a string of numbers or a picture, when the face is scanned and passes through, a touch display screen on the equipment randomly displays a plurality of pictures or a plurality of number strings, wherein the verification information contains the self-defined verification information of the user, and the user clicks the correct preset verification information to finish the third confirmation operation. In order to be compatible with more PC terminals of the store, the small-sized processor is added in the equipment, most information of face recognition is processed in advance, the information is quickly matched with the information base by using a cloud information technology, and the PC terminal of the store receives the information provided by the equipment to perform the final payment state processing operation. The two-dimensional code scanning camera provided by the invention aims to solve the problem of the way of registering face information by a user during the product putting and using period. The invention simultaneously develops synchronous network platform and mobile phone client software, and the user can independently complete the filling and registration of all information aiming at the mobile phone with face recognition function. Aiming at a mobile phone user without a face recognition function, most information data filling can be completed in advance through matched mobile phone software, a two-dimensional code is generated, the two-dimensional code is carried to a shop with face recognition payment equipment, registration information is submitted quickly through two-dimensional code scanning, and face recognition registration or iris feature information supplementation is performed by using a biological camera of the face recognition payment equipment in the shop.
The invention can be transformed from a standing desk type to a form similar to a handheld POS machine, is also provided with a biological camera and a touch display screen facing a client, and can also carry out two-dimensional code scanning. Under the condition that the user needs, the two-dimensional code scanning camera of this product also can provide two-dimensional code scanning payment function.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (6)

1. A face recognition payment system, comprising: comprises a client and a server
The method comprises the steps that a client acquires image data and prompts whether infrared light supplement is needed or not, a robot learning model captures the position of a human face, a human face screenshot and a depth information screenshot are uploaded to a server, the server verifies identity card information, a payment confirming page is displayed after the server verifies the identity card information successfully, payment is completed by selecting second verification after the payment is confirmed, the client acquires a picture from the server, a user selects a preset picture displayed on the client, and the payment is completed after the user selects a correct picture;
the server receives the face screenshot and the depth information and then conducts image preprocessing to obtain iris images and feature points, the feature points comprise eyes, eyebrows, cheekbones, noses, mouths and chin, the face identity is distinguished by deep learning through a neural network, iris information is checked, an identity verification result is sent to the client, a picture group is sent to the client after the client carries out second verification, and a user selects a correct picture to complete verification and payment.
2. A face recognition payment system as recited in claim 1, wherein: and when the client selects not to carry out the second verification, the payment completion is directly displayed, and the server directly completes the verification and the payment after receiving the information that the client selects not to carry out the second verification.
3. A face recognition payment system as recited in claim 1, wherein: and the second time verification server sends the number of the pictures in the picture group to the client side, wherein the number of the pictures is not less than six.
4. A face recognition payment device as claimed in claim 1, comprising a base (6), characterized in that: the upper end of the base (6) is connected with the support (4), the upper end of the support (4) is connected with the liquid crystal touch display screen (3), and the upper end of the liquid crystal touch display screen (3) is provided with the QR code scanning camera (2) and the biological camera (1).
5. A face recognition payment device as recited in claim 4, wherein: and the middle part of the bracket (4) is provided with a joint lock (5) for adjusting the height of the bracket.
6. A face recognition payment device as recited in claim 4, wherein: one side of the base (6) is connected with a data line (7) connected with a PC end, and the data line (7) is connected with a circuit board at the back of the liquid crystal touch display screen (3).
CN201811154091.9A 2018-09-30 2018-09-30 Face recognition payment system and equipment thereof Pending CN110969438A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811154091.9A CN110969438A (en) 2018-09-30 2018-09-30 Face recognition payment system and equipment thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811154091.9A CN110969438A (en) 2018-09-30 2018-09-30 Face recognition payment system and equipment thereof

Publications (1)

Publication Number Publication Date
CN110969438A true CN110969438A (en) 2020-04-07

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Application Number Title Priority Date Filing Date
CN201811154091.9A Pending CN110969438A (en) 2018-09-30 2018-09-30 Face recognition payment system and equipment thereof

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