Dynamic Biometric Match Thresholds for Consistent Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Biometric pattern verification systems, such as fingerprint sensors, face challenges in maintaining consistent performance specifications over time due to changes in operational profiles, leading to issues like increased false acceptance or rejection rates, especially when template elements are added or removed.
Innovation Solution
A dynamic matching process that adjusts the match phase thresholds and rigor based on pre-match phase predictions, allowing for variable match thresholds and operational modes to compensate for changes in the pattern information repository, thereby maintaining desired performance metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the match process uses fixed thresholds and operational profiles, then the system is simple to implement, but performance specifications degrade over time as template elements are added or removed
Solution Approach 1:
The patent implements dynamic operational profiles that automatically adjust match process parameters (such as threshold values, feature weights, and comparison criteria) based on the current state of the template repository. When template elements are added or removed, the system recalibrates the match process to maintain consistent performance specifications, transforming a static system into an adaptive one that evolves with the data repository while preserving reliability.
Solution Approach 2:
The system monitors changes in the template repository (additions or removals of pattern elements) and automatically modifies match process parameters accordingly. This includes adjusting threshold values, modifying feature extraction parameters, or changing comparison algorithms to compensate for repository changes, thereby maintaining consistent false acceptance and false rejection rates without requiring complete retraining or manual recalibration.
2Reliability
If the system performs rigorous match verification, then false acceptance rates decrease, but processing time and computational cost increase
Solution Approach 1:
The patent implements a tiered verification approach where not all patterns undergo the same level of rigorous checking. Based on pre-match assessments, feature quality metrics, and operational context, the system applies appropriate verification depth - sometimes performing full rigorous matching and other times using expedited processes. This selective application of verification rigor maintains low false acceptance rates for critical cases while reducing processing time for lower-risk scenarios.
Solution Approach 2:
The system performs preliminary assessments before full match verification, including pre-match feature extraction, quality evaluation, and preliminary comparison. These preliminary actions identify patterns that can be quickly rejected or accepted with high confidence, allowing the system to skip time-consuming rigorous verification for obvious cases while reserving full verification resources for ambiguous or high-stakes comparisons.
3Stability of the object's composition
If the operational profile is fixed to meet initial performance specifications, then the system is stable, but it cannot adapt to changes in the pattern information repository
Solution Approach 1:
The patent implements continuous monitoring of match process performance metrics (false acceptance rates, false rejection rates, processing time) and automatically detects when performance specifications begin to degrade due to template repository changes. The system provides feedback loops that trigger automatic recalibration of the operational profile, adjusting parameters to restore performance to acceptable levels. This feedback mechanism maintains stability by correcting deviations while enabling adaptation to changing conditions.
Solution Approach 2:
The system performs self-calibration and self-adjustment in response to template repository changes. When the system detects additions or removals of pattern elements, it automatically recalibrates match thresholds, reweights features, or modifies operational parameters without requiring external intervention or manual reconfiguration. This self-service capability maintains operational profile stability while enabling continuous adaptation to repository evolution.
Data Source
AI summary
A system, method, and computer program product for producing a consistent desired set of operational parameters during use of a patterning solution that would otherwise alter an initial set of operational parameters. A variable match process is adjusted dynamically to counter changes to the performance metric to tend to maintain the performance metric at a desired predetermined specification.