Adaptive Biometric Authentication for Temporary Signature Changes
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Solution Overview
Problem
Biometric authentication systems struggle to accommodate temporary changes in biometric characteristics due to illnesses, injuries, or environmental factors, leading to authentication failures.
Innovation Solution
Implement adaptive biometric authentication that detects failures in a first type of authentication, prompts for alternative authentication methods, and selectively modifies biometric characteristics in the user profile until they can be provided in a usable state, without requiring a new profile creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication systems use strict matching of biometric characteristics, then security and authentication reliability are improved, but the system fails when users experience temporary changes in biometric characteristics due to illness, injury, or environmental factors
Solution Approach 1:
The system dynamically adjusts the biometric signature by selectively modifying characteristics that fail to match within a threshold, while maintaining other characteristics. This dynamic adaptation allows the system to accommodate temporary changes (such as illness or injury) without compromising overall security, as the modification is targeted and reversible when the original state is restored.
Solution Approach 2:
The system changes specific parameters (biometric characteristics) of the stored signature when authentication fails due to temporary conditions. By modifying only the affected characteristics rather than the entire signature, the system maintains security while adapting to user needs during temporary biometric changes.
2Adaptability or versatility
If the system allows flexible matching of biometric characteristics to accommodate temporary changes, then adaptability is improved, but authentication security and precision are degraded
Solution Approach 1:
The system applies local quality by selectively modifying only the specific biometric characteristics that fail to match within the threshold, while preserving other characteristics that remain valid. This localized adjustment maintains high precision for unaffected traits while providing flexibility for affected ones, preventing blanket relaxation of matching criteria.
Solution Approach 2:
The system dynamically determines which characteristics to modify based on real-time authentication failures, adjusting only when necessary and reversing modifications when the original state is restored. This dynamic approach ensures precision is maintained for stable characteristics while adapting to temporary changes only when needed.
3Adaptability or versatility
If the system continuously monitors and updates biometric signatures to accommodate changes, then adaptability is improved, but system complexity and computational resources increase
Solution Approach 1:
The system performs partial action by selectively modifying only the necessary biometric characteristics that cause authentication failures, rather than continuously updating the entire signature. This reduces computational overhead while maintaining adaptability for affected characteristics.
Solution Approach 2:
The system uses feedback from authentication attempts to determine when modifications are needed. By monitoring authentication failures and triggering modifications only when thresholds are exceeded, the system reduces unnecessary processing while maintaining adaptability. The feedback loop also enables reversal of modifications when original characteristics are restored.
Data Source
AI summary
Systems and methods are presented for adaptive biometric authentication. According to one example method, a failure of a first type of biometric authentication is detected. In response to detecting the failure of the first type of biometric authentication, an alternative type of authentication is completed. In response to completing the alternative type of authentication, a biometric characteristic of a biometric signature is selectively modified in a stored user profile for processing a subsequent attempt of the first type of biometric authentication.