Fingerprint Recognition Template Updates Using Quality Checks
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Solution Overview
Problem
Current fingerprint template update methods are inadequate, often relying solely on the quantity of templates, leading to suboptimal user experience in fingerprint recognition due to low-quality templates.
Innovation Solution
A fingerprint recognition method that employs multiple judgment conditions, including matching information, cumulative update counts, and priority information to selectively update the fingerprint template, ensuring high-quality template updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the fingerprint template is updated frequently based on simple quantity criteria, then the template library size increases, but the recognition accuracy may deteriorate due to inclusion of low-quality templates
Solution Approach 1:
The patent changes the update criteria from simple quantity-based to multi-parameter quality-based evaluation. It introduces matching information quality assessment, update count thresholds, and priority levels to dynamically determine whether to update templates, thereby maintaining high template quality while enabling appropriate updates.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously evaluates matching information quality, tracks update counts, and adjusts update decisions based on accumulated data. This feedback loop ensures that only templates meeting quality standards are updated, preventing degradation of template library quality.
2Manufacturing precision
If the fingerprint template update criteria are made more stringent to ensure quality, then the recognition accuracy improves, but the update frequency and adaptability decrease
Solution Approach 1:
The patent introduces dynamic update criteria that adjust based on multiple factors including matching quality, update count, and priority levels. The system transitions from static quantity-based updates to dynamic quality-based updates, allowing flexible adaptation while maintaining quality standards through conditional evaluation.
Solution Approach 2:
The system changes parameters such as matching information quality thresholds, update count limits, and priority assignments to control template updates. By dynamically adjusting these parameters, the system maintains quality while adapting to different scenarios and user needs.
3Manufacturing precision
If multiple judgment conditions are applied for template updates, then the template quality is maintained, but the system complexity increases
Solution Approach 1:
The patent segments the template update process into distinct evaluation stages: matching information quality assessment, update count verification, and priority level determination. This segmentation allows complex multi-condition evaluation to be broken down into manageable, independent judgment steps, reducing system complexity while maintaining quality control.
Data Source
AI summary
A fingerprint recognition method and apparatus are provided. The method is applied to the field of fingerprint recognition technologies. The method includes: when a first fingerprint image is successfully matched, judging whether matching information of the first fingerprint image satisfies a first preset condition; when the matching information of the first fingerprint image satisfies the first preset condition, judging whether a cumulative update count of a second fingerprint template is greater than a first quantity threshold; when the cumulative update count of the second fingerprint template is greater than the first quantity threshold, judging whether priority information of the second fingerprint template satisfies a second preset condition; and when the priority information of the second fingerprint template satisfies the second preset condition, updating the second fingerprint template with the first fingerprint image. A high-quality fingerprint image is selected through a plurality of judgment conditions to update a fingerprint template library. Matching is performed based on an updated fingerprint template library. This can increase a fingerprint unlocking rate and an unlocking speed, so that user experience in unlocking is improved.