Biometric Payment Authentication via Fingerprint Matching
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Solution Overview
Problem
Existing payment systems rely on physical cards and identification methods that do not reliably verify the card owner's identity, leading to increased fraudulent transactions, especially in online and contactless payments.
Innovation Solution
Implementing biometric payment systems that register and authenticate customers using unique biometric characteristics such as fingerprints, allowing for secure and convenient transactions without the need for physical cards or identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional payment verification methods (ID cards, billing addresses, security codes) are used, then the payment process is simple and quick, but the security and reliability of verifying the card owner's identity is insufficient
Solution Approach 1:
The patent replaces mechanical verification methods (physical ID cards, manual security code entry) with biometric authentication systems that use physiological characteristics (fingerprint sensors, facial recognition cameras) to verify identity. This substitution provides more reliable identity verification while maintaining user convenience through automatic biometric capture and processing.
Solution Approach 2:
The patent introduces biometric data as an intermediary element between the user and the payment system. Instead of directly verifying physical cards or manually checked IDs, the system uses biometric characteristics as a mediating verification mechanism that automatically confirms the user's identity without requiring them to physically present additional documentation.
2Reliability
If physical payment cards and identification documents are required, then the authentication process provides basic verification, but it increases the time required for transactions and allows for fraudulent copying
Solution Approach 1:
The patent performs biometric verification in advance by capturing and processing biometric data during the payment initiation phase. The system pre-validates the user's identity through biometric matching before the actual transaction occurs, preventing fraudulent attempts and reducing the time needed during the critical payment moment.
Solution Approach 2:
The patent uses biometric template matching where a digital representation (copy) of the user's biometric characteristics is created during enrollment and then compared against live biometric scans during transactions. This copying mechanism enables rapid verification without requiring physical presence of original documents while maintaining high security through unique biometric pattern recognition.
3Reliability
If multiple verification steps (card insertion, ID presentation, code entry) are implemented, then security is enhanced, but the ease of operation and user convenience deteriorates
Solution Approach 1:
The patent merges multiple verification functions into a single biometric authentication step. Instead of requiring separate actions for card insertion, ID presentation, and code entry, the system combines these verification requirements into one unified biometric scan that simultaneously validates the user's identity and authorization, dramatically improving ease of operation while maintaining security.
Solution Approach 2:
The patent enables self-service biometric authentication where the system automatically captures biometric data (such as facial images or fingerprint scans), processes the verification, and completes authentication without requiring manual intervention. The user simply presents their biometric characteristic, and the system handles all verification steps automatically, enhancing convenience while ensuring secure payment processing.
Data Source
AI summary
In some examples, methods and systems may process one or more payment transactions between a merchant and a customer by registering, by a biometric sensor of a payment object reader or a mobile device, a biometric characteristic as a biometric payment instrument, for example by obtaining data corresponding to a biometric characteristic of the customer. The data is converted into a digital signature of the biometric characteristic and compared with a registered biometric instrument at the time of transaction. If a match is obtained, the customer effects payments through the registered biometric instrument.