Biometric Verification Templates With Error-Based Data Reduction

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Solution Overview

Problem

Conventional biometric cryptographic technologies face challenges in ensuring both safety and efficiency, with methods like those described in 'Cryptographic Key Generation from Biometric Data Using Lattice Mapping' leading to large template sizes and vulnerabilities that allow attackers to estimate feature data, thereby compromising security.

Innovation Solution

A biometric cryptographic system that generates a template based on error and stationary feature data, using a reduced representation of biometric information to create a smaller template, making it difficult to estimate the original feature data while maintaining security through the use of error data and salts, and employing cryptographic processes with verification information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional biometric cryptographic methods are used to generate templates from biometric information, then security can be maintained, but template size becomes large and storage requirements increase

Engineering Contradiction:
ImprovesecurityVSAvoidtemplate size
Core Design Contradiction:
ReliabilityVSVolume of stationary object

Solution Approach 1:

The patent extracts only the essential components needed for cryptographic verification. Instead of storing complete biometric templates, the system extracts and stores only verification information derived from the biometric data, significantly reducing template size while maintaining security functionality.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The biometric template is segmented into multiple components: feature data, error data, and verification information. Each component serves a specific function, allowing the system to store only the necessary verification information rather than the entire template, thus reducing storage requirements.

Inventive Principle:
Principle #1Segmentation

2Reliability

If complete biometric templates are stored for cryptographic verification, then security is maintained, but storage space and access time increase

Engineering Contradiction:
ImprovesecurityVSAvoidaccess time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system extracts only the verification information from the complete biometric template, storing only this essential subset. This extraction reduces both storage space and access time, as the system only needs to retrieve and process the verification information rather than complete templates during authentication operations.

Inventive Principle:
Principle #2Taking out (Extraction)

3Reliability

If biometric information is protected through encryption, then security is improved, but the complexity of the cryptographic processes increases

Engineering Contradiction:
ImprovesecurityVSAvoidcryptographic process complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces verification information as an intermediary element that simplifies the cryptographic verification process. Instead of directly handling complex encrypted biometric templates, the system uses the pre-computed verification information as a mediator, reducing computational complexity during authentication while maintaining security.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentEP3637674B1Computer system, secret information verification method, and computer
Publication Date: 2026.04.15 HITACHI LTD
  • EP3637674B1 patent drawingFigure 1
  • EP3637674B1 patent drawingFigure 2~3
  • EP3637674B1 patent drawingFigure 4~5

AI summary

A computer system comprising a computer, wherein the computer is configured to: generate feature data based on biometric information obtained from a user; generate error feature data indicating an error in the biometric information and stationary feature data indicating part other than the error in the biometric information, based on the feature data; generate a template based on the error feature data of the biometric information; generate first confidential information used for cryptographic process based on the stationary feature data of the biometric information, and generate first verification information based on the first confidential information.