Fingerprint Matching Method Using True Feature Point Filtering
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Solution Overview
Problem
Existing fingerprint matching methods are significantly affected by pseudo feature points, leading to a reduced success rate, especially in low-quality images or those with weak preprocessing.
Innovation Solution
A fingerprint matching method that extracts feature points, performs an initial matching to identify true feature points by calculating direction differences, removes falsely matched pairs based on distance and frequency criteria, and conducts a second matching using the remaining true feature point pairs, thereby improving the accuracy and success rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing fingerprint matching methods use information from multiple surrounding feature points for matching, then the matching process can be performed, but the success rate is significantly reduced due to pseudo feature points
Solution Approach 1:
The patent performs preliminary identification of true feature points before conducting the final matching process. By calculating direction differences between candidate feature points and their surrounding points, and verifying geometric relationships in advance, the system filters out pseudo feature points before they can negatively impact the matching success rate
Solution Approach 2:
The patent implements a feedback mechanism where the matching process uses direction difference calculations and geometric relationship verification to continuously evaluate and refine feature point identification. The system adjusts its selection of feature points based on whether they satisfy predetermined conditions regarding direction consistency and geometric relationships with surrounding points
2Ease of manufacture
If the fingerprint image quality is low or preprocessing is weak, then image acquisition is easier, but the matching accuracy is significantly reduced due to pseudo feature points
Solution Approach 1:
The patent changes the parameters used for feature point evaluation by introducing direction difference calculations and geometric relationship verification. Instead of relying solely on image quality or simple feature detection, the system evaluates feature points based on their directional consistency with surrounding points and their geometric relationships, making the matching process robust to variations in image quality and preprocessing strength
Data Source
AI summary
The present disclosure provides a fingerprint matching method and apparatus, an electronic equipment and a readable storage medium. The method includes: extracting a plurality of to-be-matched feature points from the to-be-identified fingerprint image; performing a first matching between the plurality of to-be-matched feature points and a plurality of template feature points in the template fingerprint image, wherein the first matching includes: identifying true feature points in the plurality of to-be-matched feature points, and determining feature point pairs each of which includes a true feature point and a template feature point corresponding to the true feature point in the template fingerprint image as a first matching result; removing at least one falsely matched feature point pair from the first matching result; and performing a second matching between the to-be-identified fingerprint image and the template fingerprint image based on remaining feature point pairs in the first matching result.