Fingerprint Module Block Scanning for Coverage Accuracy
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Solution Overview
Problem
Current fingerprint identification technologies lack the ability to accurately determine the coverage rate of a fingerprint within the detection area, leading to potential false identifications and security issues due to incomplete fingerprint images.
Innovation Solution
A fingerprint detection method and system that divides the detection area into multiple blocks, each comprising detection units with grayscale values, allowing for the determination of covered blocks and sending a collection request only when the coverage rate meets a threshold, ensuring accurate fingerprint image collection and identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire detection area is scanned to determine coverage rate, then the accuracy of coverage rate determination is improved, but the hardware overhead and complexity increase
Solution Approach 1:
The detection area is divided into multiple detection blocks, each further divided into detection units. This segmentation allows the system to scan only necessary blocks rather than the entire detection area, reducing hardware overhead while maintaining coverage rate determination accuracy through block-level grayscale value analysis.
2Speed
If fingerprint image collection is performed without coverage rate verification, then the detection speed is improved, but the identification accuracy deteriorates due to incomplete images
Solution Approach 1:
The system performs preliminary scanning of detection blocks to determine coverage rate before initiating full fingerprint image collection. This preliminary action ensures that only when sufficient coverage is detected does the system proceed to collect the complete fingerprint image, thereby maintaining both detection speed and identification accuracy.
3Measurement precision
If the grayscale values of all detection units are scanned, then the coverage rate determination accuracy is improved, but the time consumption increases
Solution Approach 1:
The system scans grayscale values of detection units only in blocks that are suspected to be covered, rather than scanning all blocks uniformly. This partial action approach maintains coverage rate determination accuracy by focusing computational resources on relevant areas, thereby reducing overall detection time.
Data Source
AI summary
The embodiments of the present disclosure provide a fingerprint detection method and a fingerprint module. The fingerprint detection method includes: dividing a detection area of the fingerprint module into a plurality of detection blocks, wherein each of the detection blocks comprises a plurality of detection units, and each of the detection units is corresponding to a grayscale value; scanning at least part of the detection blocks to obtain the grayscale values; determining whether each of the detection blocks is in a covered state based on the grayscale values; and counting the number of the detection blocks in the covered state, and sending a collection request to a host to inform the host to obtain a fingerprint image if the number thereof is not less than a coverage block threshold. The method avoids meaningless detection caused by a false touch, and ensures integrity of the fingerprint image collected later.


