Facial Recognition Authentication for Electronic Transactions
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Solution Overview
Problem
Existing electronic transaction authorization methods are vulnerable to theft and fraud due to misplaced or stolen payment cards, forgotten PINs, and the sensitivity of account information, which requires a more secure and convenient authentication process.
Innovation Solution
A method and system that uses coincidentally captured facial image data to authenticate entities by comparing it with enrolled facial image templates, linking account data, and generating authorization messages for electronic transactions, while also considering geographical location data for added security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If payment cards and PINs are used for authentication, then electronic transactions can be authorized, but the system becomes vulnerable to theft and fraud when cards are misplaced or stolen
Solution Approach 1:
The patent replaces the mechanical authentication system (physical payment cards and PIN entry) with a biometric authentication system using facial recognition. The verification module captures facial image data and compares it with stored templates, eliminating the need for physical cards that can be lost or stolen. This substitution fundamentally changes the authentication mechanism from something you possess (card) to something you are (biometric trait), thereby resolving the vulnerability to theft and fraud.
2Productivity
If account information is required for electronic fund transfers, then transactions can be processed, but the recipient becomes reluctant to share sensitive information and may forget account details
Solution Approach 1:
The patent creates a biometric copy (facial image template) of the recipient's identity and stores it in the verification module's database. Instead of requiring the recipient to share sensitive account information or remember account details, the system uses the stored facial template for authentication. This copying approach allows transaction processing while eliminating the need for recipients to expose or memorize sensitive account data.
3Ease of operation
If facial recognition is implemented for authentication, then security and convenience are enhanced, but the system complexity increases
Solution Approach 1:
The patent integrates multiple functions into the verification module: it captures facial image data, stores biometric templates, compares facial images against templates, and generates authentication decisions. By consolidating these functions into a single multi-functional module, the system achieves enhanced convenience through facial recognition while managing complexity through functional integration rather than proliferation of separate components.
Data Source
AI summary
A method and system are provided for authorizing an electronic transaction between two entities. The method includes receiving, at a verification module, coincidentally captured facial image data relating to both of the two entities and authenticating each of the two entities based on a comparison between the coincidentally captured facial image data and respective facial image templates relating to each of the two entities enrolled in a database. The method also includes retrieving, from the database, account data relating to each of the two entities based on the coincidentally captured facial image data, on determining that each of the two entities are positively authenticated, and generating an authorization message for authorizing the electronic transaction, where the authorization message comprises the account data relating to each of the two entities retrieved from the database.