Distance-Preserving Biometric Data Transformation
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Solution Overview
Problem
Biometric authentication systems face challenges such as user registration complexity across multiple devices, storage security concerns, and reduced accuracy due to minor differences in biometric data, which existing methods like encryption and hash functions fail to adequately address.
Innovation Solution
Implementing distance-preserving transformations that map biometric data into a new metric space while maintaining original distances, allowing for secure comparison without decryption or multiple exemplars, thus enhancing authentication efficiency and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If encryption or hash functions are used to secure biometric templates, then storage security is improved, but authentication accuracy deteriorates due to inability to perform direct comparison
Solution Approach 1:
The patent transforms biometric templates using distance-preserving functions that change the parameter space while maintaining the metric relationships between templates. This allows secure storage of transformed templates that can still be directly compared during authentication, resolving the contradiction between security and accuracy.
2Reliability
If multiple exemplar biometric templates are stored to account for variations, then authentication reliability is improved, but device complexity and storage requirements increase
Solution Approach 1:
The patent introduces distance-preserving transformation functions as intermediaries that map biometric templates into a new metric space. This single transformed template serves as a universal reference that accommodates natural biometric variations without requiring multiple exemplars, thus reducing system complexity while maintaining reliability.
3Reliability
If biometric data is transformed into encrypted form, then security is improved, but authentication time increases due to decryption requirements
Solution Approach 1:
The patent applies distance-preserving transformations during the initial template creation and storage phase, preparing the data in advance in a secure yet directly comparable format. This eliminates the need for time-consuming decryption operations during authentication, as the transformed templates can be compared directly in their transformed state.
4Ease of operation
If traditional password-based authentication is used, then ease of operation is improved, but security deteriorates due to vulnerability to dictionary attacks
Solution Approach 1:
The patent creates transformed copies of biometric templates that preserve the essential metric relationships while obscuring the original data. These transformed copies can be stored and compared without exposing the actual biometric information, providing security comparable to biometrics while maintaining the simplicity of automated authentication.
Data Source
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AI summary
Disclosed in some examples are methods, systems, devices, and machine-readable mediums for securing biometric data using distance-preserving transformations. A distance-preserving transformation is a function which maps elements to the same or another metric space such that the distance between the elements in the new metric space is equal to the distance between the elements in the original metric space.