Facial Authentication Payment Card Biometric Verification
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Solution Overview
Problem
Current payment account authentication methods, such as signatures and PINs, are not secure and efficient, especially in scenarios requiring immediate authentication without network connectivity.
Innovation Solution
The system uses biometric data, specifically facial image data stored in payment cards, to authenticate consumers by capturing and comparing images at point-of-sale devices, allowing for local authentication without network connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (signatures and PINs) are used, then the authentication process is simple to implement, but the security and efficiency are insufficient especially without network connectivity
Solution Approach 1:
The patent applies preliminary action by capturing and storing biometric data (facial images) of consumers in advance during account setup. This pre-captured biometric data is then stored on payment cards and in databases, enabling immediate authentication without requiring network connectivity during the actual transaction. The biometric template is created beforehand and can be quickly compared during checkout, resolving the contradiction between security and simplicity.
2Productivity
If biometric data is stored and processed locally at point-of-sale devices, then authentication can occur immediately without network connectivity, but the device complexity increases
Solution Approach 1:
The patent applies copying by creating and storing multiple copies of biometric data in different locations: on the payment card itself, in the consumer's account database, and in the payment network's database. This distributed copying allows any of these copies to be used for authentication, enabling fast local verification at the point-of-sale without requiring real-time network connectivity to a central server, thus improving productivity while managing device complexity.
3Reliability
If facial image data is captured and compared at the point-of-sale, then authentication is immediate and secure, but the measurement and detection difficulty increases
Solution Approach 1:
The patent applies mechanics substitution by replacing traditional mechanical authentication methods (manual signature verification, PIN entry) with biometric recognition technology. Facial image capture and comparison are performed automatically using cameras and image processing algorithms, eliminating the need for manual verification processes. This substitution improves authentication accuracy while the automated nature of the process actually reduces operational complexity despite the advanced technology involved.
Data Source
AI summary
Systems and methods are provided for authenticating users in connection with transactions. One example computer-implemented method includes, in response to presentment of a payment device in connection with a transaction, identifying, by a point-of-sale (POS) device, the payment device as enabled for facial authentication and retrieving, from the payment device, a reference image. The method also includes capturing, by the POS computing device, via a camera, a facial image of the user presenting the payment device and authenticating the user based on a comparison of the captured facial image of the user to the reference image. The method then includes, in response to successfully authenticating the user: compiling an authorization request for the transaction, appending an authentication indicator to a data element of the authorization request, which indicates that the user was biometrically authenticated, and submitting the authorization request to a payment network.