Biometric Payment Instrument Monitoring for Fingerprint Changes
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Solution Overview
Problem
Biometric payment cards face issues due to changes in fingerprint patterns caused by wear and tear, seasonal variations, or natural growth, leading to authentication failures, prompting users to continue using the card in degraded mode without addressing the malfunction.
Innovation Solution
A payment instrument with a biometric sensor that records a sequence of matching scores, analyzes metadata associated with these scores, and triggers alerts based on predefined thresholds to manage biometric authentication failures, either directly to the user or remotely, suggesting enrollment updates or increased usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication is used for payment transactions, then security and convenience are improved, but reliability deteriorates due to fingerprint changes from wear and tear, seasonal variations, or natural growth
Solution Approach 1:
The system proactively monitors matching scores and detects authentication degradation before complete failure occurs. By analyzing trends in matching scores over time, the system identifies when biometric authentication is becoming unreliable due to fingerprint changes, and alerts the user to re-enroll before the biometric feature stops working entirely.
Solution Approach 2:
The system continuously monitors authentication performance by recording matching scores from payment transactions. This feedback loop allows the system to track changes in fingerprint quality over time and trigger alerts when degradation is detected, enabling users to maintain optimal biometric authentication performance.
2Reliability
If biometric authentication is continuously monitored and alerts are triggered for enrollment updates, then authentication reliability is improved, but device complexity increases due to monitoring and alerting mechanisms
Solution Approach 1:
The monitoring unit leverages the existing matching unit's computational resources to analyze authentication scores. Instead of adding separate dedicated hardware for monitoring, the system repurposes the matching unit's existing processing capabilities to perform both authentication and monitoring functions, thereby reducing overall device complexity.
Solution Approach 2:
The system automatically monitors its own authentication performance and self-diagnoses when biometric data quality degrades. The monitoring unit and checking unit work autonomously to detect issues and trigger alerts without requiring external intervention or complex external monitoring infrastructure.
Data Source
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AI summary
The invention is a method for managing a payment instrument (10) able to manage a payment transaction with a payment terminal (20). The payment instrument includes a biometric sensor (54), biometric reference data (17), and a matching unit (16) that computes a matching score by comparing a captured biometric candidate data with the biometric reference data. The payment instrument records (S10) in a log (14) a sequence of matching scores computed by the matching unit and determines (S12) as many metadata as said matching scores, each of said metadata being associated with one of said matching scores and stores said metadata in the log. The payment instrument analyzes (S14) the sequence and metadata and decides, based on at least one predefined threshold, that providing an alert is necessary. The payment instrument provides (S16) the alert either directly to a user or to a remote server via the payment terminal.