Biometric Feature Transformation for Irreversible Verification Templates
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Solution Overview
Problem
Biometric verification systems face challenges in achieving high irreversibility and accuracy in template transformations, leading to issues with false positives and negatives, and the risk of unauthorized access due to the potential reversibility of biometric data.
Innovation Solution
The use of computationally tractable feature transformations, such as statistical analysis of multi-parameter similarity measures, to generate transformed templates that are irreversible and preserve sufficient information for accurate verification, eliminating the need to store original biometric templates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric template transformation is made highly irreversible to enhance security, then security against unauthorized access is improved, but verification accuracy deteriorates due to increased false positives and negatives
Solution Approach 1:
The patent transforms biometric templates by changing their parameter representation through mathematical transformations (e.g., rotating, scaling, or applying nonlinear functions to template features). This allows the transformed template to resist reverse engineering while preserving the essential similarity characteristics needed for accurate verification, resolving the contradiction between irreversibility and accuracy.
Solution Approach 2:
The patent introduces an intermediary transformed template as a mediator between the original biometric data and the verification process. This transformed template serves as a secure representation that cannot be easily reversed to obtain original biometric data, yet maintains sufficient information for accurate verification through similarity comparison, thus resolving the security-accuracy tradeoff.
2Measurement precision
If biometric template transformation preserves high accuracy for verification, then verification accuracy is improved, but reversibility increases creating security risks
Solution Approach 1:
The patent applies parameter-changing transformations that modify the template representation in a way that preserves verification accuracy through similarity metrics while making the transformation computationally irreversible. The transformed parameters maintain the necessary discriminative information for accurate matching but eliminate the possibility of recovering original biometric data.
3Reliability
If transformed templates are made highly irreversible, then security is improved, but equal error rates increase
Solution Approach 1:
The patent employs parameter transformations that are designed to maintain the statistical distribution and similarity characteristics of biometric templates while making them irreversible. This ensures that the transformed templates maintain low equal error rates by preserving the essential verification information without enabling reverse engineering.
Data Source
AI summary
In one embodiment, a method includes accessing query biometric data associated with a verification request for a user. The method further includes applying a transformation to the query biometric data to generate a transformed query template representing the query biometric data and accessing a transformed enrollment template comprising transformed enrollment biometric data of the user. The method further includes determining, based on a scoring function comparing the transformed query template and the transformed enrollment template, a plurality of similarity scores, each similarity score associated with a different value of a scoring parameter; and determining, based on the plurality of determined similarity scores, whether to grant or deny the verification request.