Multi-Biometric Authentication Token Generation via Concatenation
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Solution Overview
Problem
Traditional user authentication systems, including biometric methods, face challenges with high false rejection rates due to the need for high accuracy thresholds for single biometric inputs, which can compromise security and efficiency.
Innovation Solution
A method utilizing multiple biometric inputs to generate authentication tokens by concatenating and hashing feature vectors from ordered sequences of biometric inputs, allowing for lower individual accuracy thresholds while maintaining security through a profile token-based authentication process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single biometric input is used with high accuracy threshold, then security is improved, but false rejection rate increases
Solution Approach 1:
The patent divides the authentication process into multiple independent biometric input segments (e.g., fingerprint, facial recognition, voice) rather than relying on a single biometric modality. Each biometric input is processed separately to generate individual authentication templates, which are then combined through concatenation and hashing to form a comprehensive authentication token. This segmentation allows the system to lower individual accuracy thresholds while maintaining overall security through the aggregation of multiple inputs.
2Measurement precision
If multiple biometric inputs are used, then false rejection rate is reduced, but system complexity increases
Solution Approach 1:
The patent merges multiple biometric authentication templates into a single comprehensive authentication token through concatenation and hashing operations. The first authentication template from a first biometric input and the second authentication template from a second biometric input are concatenated and hashed to generate a unified authentication token. This merging approach consolidates the complexity of handling multiple biometric inputs into a standardized process, making the system more manageable while still benefiting from the reduced false rejection rate of multi-modal authentication.
Data Source
AI summary
Example embodiments relate to authenticating a user operating a user computing entity. An input ordered sequence of biometric inputs is received and stored as profile templates. The templates are concatenated and a function is applied to generate a profile token. To authenticate a user, the same ordered sequence of biometric inputs are received to generate an authentication token with the profile token and the authentication token being compared for a match.