Touchless Multimodal Biometric Authentication With Anonymized FXRs
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Solution Overview
Problem
Existing biometric systems require physical contact with scanners, which can be undesirable due to health concerns or physical separation, and often necessitate multiple scans for multimodal data capture, increasing cost and complexity.
Innovation Solution
A system for touchless multimodal biometric data collection that generates multimodal, multi-factor representations through operations like embedding, blending, binding, and unbinding, using fixed-size representations (FXRs) to enhance security and flexibility in authentication processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If touch-based biometric scanning is used to capture biometric data, then scanning accuracy can be improved, but health safety and user convenience deteriorate due to physical contact requirements
Solution Approach 1:
The patent replaces mechanical contact-based scanning with optical imaging systems (cameras, depth sensors) that capture biometric data through light reflection and spatial mapping, eliminating the need for physical contact between the scanner and the subject's body surfaces
2Loss of information
If multiple separate scans are performed to collect multimodal biometric data, then data completeness improves, but system complexity and cost increase
Solution Approach 1:
The patent employs a universal imaging platform that simultaneously captures multiple biometric modalities (facial geometry, iris patterns, hand vein structures, fingerprint details) through a single integrated sensor array, allowing one system to perform functions that previously required multiple specialized devices
Solution Approach 2:
The patent combines multiple biometric capture functions into a single imaging operation, merging facial recognition, iris scanning, and fingerprint detection into one coordinated capture sequence that processes multiple data streams from the same imaging session
3Ease of operation
If touchless biometric capture is implemented, then user convenience and health safety improve, but measurement precision and data quality may deteriorate
Solution Approach 1:
The patent uses dynamic capture sequences that adapt to the subject's movement and positioning, employing real-time feedback from depth sensors and active illumination to maintain optimal focus and resolution throughout the touchless scanning process, compensating for the lack of physical stabilization
Data Source
AI summary
A system can include a server having a processor configured to receive, from a first computing device, first data associated with at least one historical data attack. The processor can encode the first data into at least one fixed-size representation. The processor can generate at least one anonymized vector representation based on the at least one fixed-size representation. The processor can receive, from a second computing device, second data associated with a potential attacker. The processor can encode the second data into at least one additional fixed-size representation. The processor can generate a second anonymized vector representation based on the at least one additional fixed-size representation. The processor can generate a confidence measure of the potential attacker as an attacker based on a comparison between the at least one anonymized vector representation and the second anonymized vector representation.