Composite Hand Biometric Template for Spoof Detection
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Solution Overview
Problem
Biometric authentication systems face challenges in differentiating between live users and spoof attempts, particularly due to cross-matching issues with traditional biometric templates, which affects their reliability and accuracy.
Innovation Solution
A multimodal biometric authentication system that combines information from images captured under different electromagnetic wavelength ranges (visible and infrared) to generate a unique composite template, enhancing spoof detection and reducing cross-matching errors by incorporating skin texture and subcutaneous vasculature features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional biometric templates are used for authentication, then the system is simple to operate, but the reliability and accuracy are reduced due to cross-matching issues and spoof attempts
Solution Approach 1:
The patent combines multiple biometric modalities (skin texture, subcutaneous vasculature, and hand geometry) into a single composite template. This merging of different biological features increases authentication reliability by making spoofing more difficult while maintaining a unified authentication process that does not significantly increase user-facing complexity
Solution Approach 2:
The patent creates a composite biometric template that integrates information from multiple wavelength ranges (visible and infrared) and multiple feature types. This composite approach enhances reliability by using diverse biometric characteristics that are difficult to replicate simultaneously, while the system manages this complexity through automated processing
2Measurement precision
If traditional biometric templates are used, then the device complexity is low, but measurement precision and accuracy are reduced due to cross-matching errors
Solution Approach 1:
The patent segments the biometric analysis into distinct components: visible light imaging for skin texture, infrared imaging for subcutaneous vasculature, and geometric feature extraction. This segmentation allows each modality to be processed optimally and then combined, improving measurement precision while managing complexity through modular processing
Solution Approach 2:
The patent adds the wavelength dimension to biometric imaging by capturing images in both visible and infrared ranges. This dimensional expansion provides additional discriminatory features for more accurate matching, while the automated fusion process handles the increased data complexity
3Reliability
If multi-wavelength imaging is implemented, then spoof detection capability is improved, but the use of energy and system complexity increase
Solution Approach 1:
The patent uses sequential illumination with different wavelength ranges rather than simultaneous multi-wavelength imaging. The visible and infrared lights are activated in sequence, reducing total energy consumption compared to continuous multi-wavelength operation, while still capturing all necessary biometric features for spoof detection
Solution Approach 2:
The patent designs the imaging system to use a single camera that can capture both visible and infrared wavelengths, making the device multi-functional. This approach improves spoof detection capability by accessing multiple wavelength ranges while avoiding the energy and complexity costs of maintaining separate imaging systems
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system significantly improves the reliability and accuracy of biometric authentication by creating a proprietary template that is difficult to spoof, reducing errors in large gallery identification and enhancing the security of access control systems.
Implementation Method 1
obtaining, by one or more image acquisition devices, a first image of a portion of a human body under illumination by electromagnetic radiation in a first wavelength range
Implementation Method 2
obtaining, by the one or more image acquisition devices, a second image of the portion of a human body under illumination by electromagnetic radiation in a second wavelength range
Data Source
AI summary
The technology described in this document can be embodied in a method that includes obtaining, by one or more image acquisition devices, a first image of a portion of a human body under illumination by electromagnetic radiation in a first wavelength range, and obtaining a second image of the portion of the human body under illumination by electromagnetic radiation in a second wavelength range. The method also includes generating, by one or more processing devices, a third image or template that combines information from the first image with information from the second image. The method also includes determining that one or more metrics representing a similarity between the third image and a template satisfy a threshold condition, and responsive to determining that the one or more metrics satisfy a threshold condition, providing access to the secure system.