Fingerprint Retrieval Method and System Based on Posture Correction

Abstract

The invention discloses a fingerprint retrieval method and system based on posture correction, wherein the retrieval method comprises the following steps: obtaining posture information of a plurality of fingerprint images in a fingerprint database; performing posture correction on each fingerprint image; obtaining The error of the attitude correction algorithm; according to the error, each fingerprint image is divided into multiple regions, and the corresponding inverted index table, fingerprint database and training fingerprint inverted index table are established for the same area in multiple fingerprint images; learning key The mapping between the number of minutiae points corresponding to the word and the weight is established to establish a weight function; the attitude correction of the query fingerprint is carried out, and the retrieval is carried out through the weight function and the inverted index table of the fingerprint database. According to the fingerprint retrieval method of the embodiment of the present invention, by performing posture correction on multiple fingerprint images in the fingerprint database, and partitioning each fingerprint image, secondly, after performing posture correction on the query fingerprint, searching from the fingerprint database, Improve retrieval accuracy and efficiency.

Description

technical field [0001] The invention relates to the technical field of fingerprint retrieval, in particular to a gesture correction-based fingerprint retrieval method and system. Background technique [0002] In related technologies, mainstream fingerprint retrieval methods are based on minutiae descriptors and posting list technology. Among them, the minutiae descriptor can be a feature in the neighborhood of a single minutiae, or an attribute of a minutiae pair or a minutiae triplet. The retrieval method in the related art includes an offline indexing stage and an online query stage. Specifically, in the offline stage, all the minutiae descriptors of library fingerprints are mapped into keywords through direct quantization methods or hash functions, etc., and the minutiae numbers are stored in the corresponding keywords to form an inverted index table; In the same way, the minutiae descriptors of the query fingerprint are mapped to keywords. It is generally considered th...

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Problems solved by technology

[0003] However, the fingerprint retrieval method in the related art ignores the pose constraints, resulting in many mismatched descriptors for unmatched fingerprints, which limits the performance of the retrieval method and the retrieval accuracy is not high.

In addition, there are retrieval methods in the related art that cluster the transformation parameters of the matching minutiae points, and then delete the matching points inconsistent with the optimal transformation parameters. Although the pose constraints are used, the accuracy is higher than without the pose constraints, but the speed is very slow. , resulting in low retrieval efficiency

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