Biometric Record Crosslink Repair Through Modality-Specific Matching

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Solution Overview

Problem

Biometric crosslinks, where biometric records from multiple individuals are intermixed, compromise the integrity of biometric data repositories and degrade the performance of identification systems, making repair complex and computationally intensive.

Innovation Solution

A method and system for automatically detecting and repairing biometric crosslinks by applying entity resolution principles, utilizing modality split and modality merge techniques to separate and merge biometric samples based on matching scores, ensuring each record contains data from a single individual.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional biometric record repair methods are used, then crosslinked records can be resolved, but the process becomes complex and computationally intensive with exponentially increasing comparisons

Engineering Contradiction:

Improveintegrity of biometric data repositoryVSAvoidcomplexity of repair process

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the biometric record repair process into distinct phases: identifying candidate records using text-based fields (name, DOB, SSN), then performing biometric comparison only on candidates. This segmentation reduces the problem from comparing all n records (nm comparisons) to comparing only candidate records (cc comparisons where c << n), thereby reducing complexity while maintaining reliability

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies different quality standards and processing methods to different parts of the record. Text-based fields are used for initial filtering with strict matching criteria, while biometric samples are used for confirmation with similarity thresholding. This local differentiation of processing quality reduces overall complexity by avoiding full biometric comparison on all records

Inventive Principle:

Principle #3Local quality

2Measurement precision

If comprehensive biometric comparison is performed on all records, then accurate crosslink detection is achieved, but computational resources and time increase exponentially

Engineering Contradiction:

Improveaccuracy of crosslink detectionVSAvoidtime required for repair process

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary filtering using text-based fields (name, date of birth, social security number) before conducting biometric comparison. This preliminary action identifies candidate records that are likely to be crosslinked, reducing the set from n records to c candidates. The biometric comparison is then performed only on this reduced set, maintaining measurement precision while significantly reducing time loss

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent performs partial comparison by using text-based fields for initial filtering and only performing full biometric comparison on candidate records. This partial approach is sufficient to achieve accurate crosslink detection because the text-based filter eliminates non-candidates, making the partial action (comparing only candidates) adequate for the goal while reducing time consumption

Inventive Principle:

Principle #16Partial or excessive action

3Reliability

If multiple biometric modalities are compared across all records, then complete crosslink resolution is achieved, but the number of required comparisons increases exponentially

Engineering Contradiction:

Improvecompleteness of crosslink resolutionVSAvoidefficiency of repair process

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent segments the comparison process into two stages: text-based field comparison for candidate identification, and modality-specific biometric comparison for confirmation. This segmentation reduces productivity loss by avoiding full multi-modality comparison on all n records, instead performing it only on c candidate records across m modalities

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies different processing quality and depth to different parts of the data. Text-based fields receive strict exact matching, while biometric modalities receive similarity-based matching with thresholds. This local quality differentiation maintains completeness of resolution while improving efficiency by using appropriate matching criteria for each data type

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20250322698A1System and method for automatically detecting and repairing biometric crosslinks

Publication Date: 2025.10.16 AWARE INC

AI summary

Systems and methods for repairing cross-linked biometric records receive a set of biometric records. Each biometric record contains at least one biometric sample in a non-textual modality. One or more of the biometric records in the set of biometric records is potentially a cross-linked biometric record having at least two biometric samples that are associated with different individuals. Crosslink resolution is performed on the set of biometric records by searching for a match between a biometric sample in a given non-textual modality of a given biometric record with each biometric sample of the same given non-textual modality in each of the other biometric records in the set of biometric records. During the crosslink resolution, biometric sample may be removed from one biometric record and merged with another biometric record.