Fingerprint minutiae matching method syncretized to global information and system thereof

Abstract

The invention provides a fingerprint minutiae matching method syncretized to global information and a system thereof. The system realizes the entire matching process by an image acquiring unit, an image pre-processing unit, a feature extracting unit, a template storing unit and a feature matching unit, which specifically comprises the following steps: from the feature extracting unit, extracting the feature including the globe information, that is, minutiae handedness, and regarding the minutiae handedness, minutiae information, and minutiae local direction description as the feature to represent the fingerprint; measuring the similarity between the minutiaes by the minutiae handedness and the minutiae local direction description; selecting several pairs of minutiaes having the greatest similarity as an initial dot pair; registering the fingerprint feature and obtaining the corresponding matching fractions with each group of initial dot pair as a reference; selecting the maximum matching fraction in matching fractions as the finial matching fraction; judging whether the input fingerprint feature and the template fingerprint feature are from the same finger based on the final matching fraction, thereby finishing the minutiae matching of the fingerprint.

Description

technical field [0001] The invention belongs to the field of biometric feature identification, relates to frontier knowledge such as image processing, pattern recognition, and computer technology, and particularly relates to fingerprint matching realized by integrating global information into minutiae features. Background technique [0002] Fingerprint identification technology is one of the most mature technologies researched and applied in the field of biometric identification. Due to the advantages of uniqueness and stability, convenient collection process and low cost, fingerprints have been widely used in identification, information security, access control and many other aspects. [0003] Fingerprint identification technology mainly includes fingerprint image acquisition, fingerprint image enhancement, fingerprint image feature extraction, data storage, comparison and matching of fingerprint features and other steps. Among them, fingerprint image feature extraction an...

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to propose and implement a fingerprint matching method based on global features that relies too much on the extraction accuracy of reference points, while fingerprint matching based on minutiae points cannot effectively distinguish different fingerprints that only have local feature similarities. The fingerprint minutiae point matching method and system that integrates global information, through a series of robust feature extraction and the establishment of reasonable matching rules, reduces the dependence of the fingerprint matching process on the accuracy of reference point extraction, and reduces the error matching caused by noise , so as to reduce the false matching rate of the fingerprint matching system and improve the performance of the system

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