Biometric Authentication Word Conversion System
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Solution Overview
Problem
Existing biometric authentication systems face challenges with high memory and processing demands, long authentication times, and difficulty in modifying proprietary systems, while also providing inadequate information for accurate authentication results.
Innovation Solution
A method and system that convert biometric data into authentication words using algorithms, which are then compared against identity records stored in a server system, incorporating biographic data and enrollment biometric words to identify potential matching records, facilitating efficient and accurate authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric feature templates are compared against a database of biometric feature templates, then authentication accuracy is maintained, but computer system memory and processing demands increase substantially
Solution Approach 1:
The patent extracts only the essential matching features from biometric data (e.g., fingerprint ridge patterns, iris characteristics) and converts them into simplified authentication words or feature vectors. This extraction process removes unnecessary data while preserving the core identification information, thereby reducing memory and processing demands while maintaining authentication accuracy.
Solution Approach 2:
The patent creates simplified representations or copies of biometric data in the form of authentication words that capture the essential identifying characteristics. These authentication words serve as lightweight proxies for the full biometric templates, enabling efficient comparison and matching without requiring storage and processing of the complete original biometric data.
2Reliability
If biometric feature templates are compared against a database of biometric feature templates, then authentication is performed, but authentication period becomes unacceptably long
Solution Approach 1:
The patent extracts only the critical matching features from biometric data and converts them into simplified authentication words. This extraction enables rapid comparison against the database without processing entire biometric templates, significantly reducing authentication time while maintaining functionality.
Solution Approach 2:
The patent transforms biometric data from its original complex format into a different parameter representation (authentication words or feature vectors) that enables faster computational processing. This parameter transformation allows for efficient matching algorithms that reduce authentication period while preserving the ability to accurately identify individuals.
3Reliability
If known biometric authentication search engines are used, then authentication is performed, but difficulty, time consumption and cost increase when modifying to operate with other authentication systems
Solution Approach 1:
The patent employs a universal conversion algorithm that can transform various types of biometric data (fingerprints, iris, facial features) into a common authentication word format. This universal approach allows the same matching engine to work with different biometric modalities and authentication systems without requiring specialized proprietary software for each system, thereby improving adaptability and reducing modification costs.
Solution Approach 2:
The patent introduces authentication words as an intermediary representation layer between the biometric capture device and the matching engine. This intermediary format serves as a universal interface that decouples the specific biometric modality from the matching algorithm, allowing the system to be easily adapted to different authentication systems by simply changing the conversion algorithm while keeping the core matching engine unchanged.
4Productivity
If only biometric data of an individual is evaluated for authentication, then authentication is performed, but adequate information about the individual is not provided to yield consistently accurate authentication results
Solution Approach 1:
The patent merges multiple sources of information including biometric data (fingerprints, iris, facial features), biographic data (name, date of birth, address), and behavioral data (typing patterns, voice characteristics) into a unified authentication probe. This combination of diverse data types provides a more comprehensive representation of the individual's identity, yielding consistently accurate authentication results while maintaining efficient processing through the authentication word conversion approach.
Data Source
AI summary
A method of authentication is provided that includes capturing biometric data for a desired biometric type from an individual, determining an algorithm for converting the biometric data into authentication words, converting the captured biometric data into authentication words in accordance with the determined algorithm, including the authentication words in a probe, and comparing the probe against identity records stored in a server system. Each of the identity records includes enrollment biometric words of an individual obtained during enrollment. Moreover, the method includes identifying at least one of the identity records as a potential matching identity record when at least one of the authentication words included in the probe matches at least one of the enrollment biometric words included in the at least one identity record, and generating a list of potential matching identity records.