Fingerprint Sensor Defect Tracking for Recognition Reliability
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Solution Overview
Problem
Fingerprint recognition sensors often malfunction due to damaged capturing modules, leading to inefficient recognition and potential unauthorized access, as they may misidentify functional modules as damaged, causing continuous failure in fingerprint verification.
Innovation Solution
A method that prohibits matching recognition when the number of historical defect dots exceeds a preset threshold, updates the defect count based on current detections, and revises the count to prevent misidentification of functional modules as damaged, ensuring continuous fingerprint recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the terminal prohibits fingerprint recognition when the number of historical defect dots reaches the preset threshold, then the security against damaged sensor malfunction is improved, but the fingerprint recognition efficiency deteriorates when normal sensors are misidentified
Solution Approach 1:
The terminal implements a feedback mechanism by detecting the number of damaged capturing modules and comparing it with the preset threshold. When the threshold is reached, the system provides feedback by prohibiting fingerprint recognition. The patent improves this by adding a revision step where the terminal revises the number of historical defect dots based on current detection results, creating a closed-loop feedback system that adjusts the prohibition decision dynamically.
Solution Approach 2:
The system transitions from a static threshold-based prohibition mechanism to a dynamic adjustment mechanism. The number of historical defect dots is not fixed but is revised based on current detection results. This dynamic approach allows the system to adapt to changing conditions, preventing permanent prohibition when temporary anomalies occur and maintaining recognition efficiency.
2Measurement precision
If the terminal continuously detects and updates the number of damaged capturing modules, then the accuracy of defect identification is improved, but the system complexity increases
Solution Approach 1:
The terminal performs preliminary detection of the number of damaged capturing modules before attempting fingerprint recognition. By detecting and evaluating the defect count in advance, the system makes informed decisions about whether to proceed with recognition or prohibit it, improving identification accuracy without requiring complex real-time monitoring during the recognition process itself.
Solution Approach 2:
The system uses its own detection capabilities to monitor and update the number of damaged capturing modules autonomously. The terminal self-updates the historical defect dots based on current detection results without requiring external intervention or complex external systems, maintaining measurement precision while controlling system complexity.
Data Source
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AI summary
A fingerprint recognition method includes: acquiring (201) a prestored number of historical defect dots after a fingerprint recognition sensor captures a first fingerprint image; prohibiting (202) performing matching recognition on the first fingerprint image when the number of the historical defect dots is greater than or equal to a first preset number threshold; detecting (203) a number of damaged capturing modules of the fingerprint recognition sensor to obtain a number of current defect dots; and updating (204) the number of the historical defect dots by using the number of the current defect dots. The updated number of the historical defect dots is used for deciding whether to perform matching recognition on a fingerprint image captured next time. A technical solution provided by the present disclosure can prevent the occurrence of a circumstance that the fingerprint recognition sensor functions properly but the terminal cannot continuously recognize a fingerprint.