Biometric Identification via Text String Conversion
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Solution Overview
Problem
Current multi-modal biometric systems are complex, costly, and plagued by proprietary integration issues, leading to high licensing complexities and inefficient data storage and comparison processes.
Innovation Solution
Converting biometric identification information into text strings for use with commercial web search technologies, allowing for scalable, interoperable, and secure biometric identification by leveraging text-based search engines for comparison and data storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed biometric identification information is stored in databases, then identification accuracy is improved, but computer storage overhead and privacy concerns increase
Solution Approach 1:
The patent extracts only the essential identifying features from complete biometric data, storing minimal sufficient information in databases while maintaining identification accuracy. This reduces storage overhead by keeping only necessary data elements rather than complete biometric profiles.
Solution Approach 2:
The system creates simplified textual representations or hashes of biometric data that serve as searchable copies. These textual copies enable efficient database storage and search operations while preserving the ability to identify individuals without storing the actual detailed biometric information.
2Reliability
If multiple biometric modalities are integrated, then identification reliability is improved, but system complexity and licensing costs increase
Solution Approach 1:
The patent implements a universal text-based search interface that can handle multiple biometric modalities through a common protocol. This allows fingerprint, facial, iris, and other biometric types to be processed through the same search engine architecture, reducing system complexity while maintaining multi-modal capabilities.
Solution Approach 2:
The system introduces a textual representation layer as an intermediary between different biometric modalities and the search engine. This mediator converts various biometric data types into a common textual format, enabling seamless integration of multiple modalities without requiring complex proprietary integration for each biometric type.
3Productivity
If proprietary biometric systems are used, then identification functionality is achieved, but licensing complexities and integration costs increase
Solution Approach 1:
The patent segments the biometric identification system into independent modular components: biometric data collection modules, textual conversion modules, and search engine modules. Each module can be independently selected and integrated, allowing organizations to choose specific biometric types without being locked into complete proprietary systems, thereby reducing licensing complexities.
Solution Approach 2:
The system replaces complex proprietary biometric matching mechanisms with a simpler text-based search engine approach. By converting biometric data into textual representations that can be processed by standard search engines, the patent eliminates the need for specialized proprietary matching software and licensing agreements.
Data Source
AI summary
A system and method are provided for implementing a scheme to apply commercial web search technologies to biometric matching and identification based on converting biometric identification data to one or more text strings. Collected biometric identification information regarding particular physical traits is converted to a form that facilitates application of commercial Web search technologies to implement biometric matching and identification. A scalability of multi-modal biometric identification systems is maintained while substantially eliminating reliance on proprietary matchers and templates in support of interoperability and customer satisfaction. Separate biometric templates are converted into strings of searchable text in any combination of alpha-numerics during a standard biometric data enrollment process in order to limit the data storage requirements and streamline the later undertaken comparison process.