Hand Biometric Anti-Spoofing via Dynamic Configuration Analysis
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Solution Overview
Problem
Biometric recognition systems are vulnerable to counterfeit biometrics, such as photographs or 3D fake body parts, which can fool the system into providing unauthorized access.
Innovation Solution
A method using hand biometrics that involves acquiring multiple images of a hand in different configurations, such as rotating or flexing, to determine if the hand is real and alive by comparing geometric and appearance measurements, and using anti-spoofing measures like three-dimensional geometry and skin pixel deformation analysis to verify identity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional biometric recognition systems are used, then identification and verification can be performed conveniently, but the system becomes vulnerable to counterfeit biometrics such as photographs or 3D fake body parts
Solution Approach 1:
The system captures multiple images of the hand in different configurations (different positions, orientations, or deformations) and analyzes the dynamic changes between these configurations. By requiring the hand to move or change shape, the system ensures the biometric sample is from a living, flexible object rather than a static counterfeit, thus resolving the contradiction between ease of use and security against spoofing
Solution Approach 2:
The system employs periodic capture of hand images in multiple configurations, requiring the user to perform repeated actions (such as moving the hand through different positions or making specific gestures). This periodic verification process ensures the biometric sample is from a living subject capable of movement, thereby enhancing security while maintaining user convenience
2Reliability
If multiple images in different configurations are acquired and analyzed, then spoofing detection is enhanced, but the system complexity increases
Solution Approach 1:
The system uses a single imaging device that performs multiple functions: capturing images in different configurations, analyzing geometric relationships, detecting spoofing attempts, and verifying identity. By making the imaging device multi-functional, the system enhances anti-spoofing capability without proportionally increasing device complexity
Solution Approach 2:
The system uses the hand itself as both the biometric source and the verification mechanism. The geometric relationships and deformation characteristics of the hand in different configurations provide inherent verification data, eliminating the need for additional complex verification devices or mechanisms
Data Source
AI summary
A method is provided for identifying and verifying a person using hand biometrics with an anti-spoofing measure. The method comprises acquiring (51) a first image (10) of a hand in a first configuration, acquiring (52) a second image (30, 40) of the hand in one of the first and a second configuration for comparison with the first image (10), determining (52) whether a person can be identified from at least one of the first image (10) and the second image (30, 40), and determining (55) from a comparison of the second image (30, 40) with the first image (10) whether the hand is a counterfeit.