A Fingerprint Matching Method Based on Multiple Reference Point Pairs

A matching method and multi-reference point technology, which can be applied to instruments, character and pattern recognition, computer components, etc., can solve problems such as nonlinear deformation of fingerprints

Inactive Publication Date: 2011-11-30
SHANDONG ZHIHUA INFORMATION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a minutiae point matching method based on multiple reference point pairs in order to overcome the fingerprint nonlinear deformation problem existing in the existing fingerprint matching algorithm. Non-linear deformation problem, and has very good fingerprint matching performance

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  • A Fingerprint Matching Method Based on Multiple Reference Point Pairs
  • A Fingerprint Matching Method Based on Multiple Reference Point Pairs
  • A Fingerprint Matching Method Based on Multiple Reference Point Pairs

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Embodiment Construction

[0053] Below in conjunction with accompanying drawing and embodiment, further elaborate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0054] As shown in the accompanying drawings, the technical solution of the present invention is: a fingerprint matching method based on multiple reference point pairs, comprising steps:

[0055] 1) Determine template fingerprint and input fingerprint;

[0056] 2) Using a fingerprint matching algorithm based on a ternary eigenvector to obtain matching scores for all minutiae points of the template fingerprint an...

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Abstract

The invention discloses a fingerprint matching method based on multiple reference point pairs, which comprises the following steps: determining template fingerprints and input fingerprints, acquiring the matching scores of every detailed point pair by a fingerprint matching algorithm based on three-value characteristic vector, and ranking all the detailed point pairs according to the matching scores in a descending order; selecting the first m detailed point pairs as the initial reference point pairs, and computing the rotation / translation parameters of the initial reference point pairs; selecting the reference point pairs according to the conformity, carrying out global matching by using each reference point pair as the reference to acquire a matched detailed point pair set, and fusing information of all the matched detailed point pair sets by using a voting fusion strategy; and acquiring the number of final matched detailed point pairs, computing the matching scores according to thenumber of final matched detailed point pairs, and judging whether the template fingerprints are matched with the input fingerprints according to the matching scores and the matching threshold. The invention overcomes and solves the problem of nonlinear deformation of fingerprints in the existing fingerprint matching algorithm, and has favorable fingerprint matching performance.

Description

technical field [0001] The invention relates to the field of automatic fingerprint identification, and in particular proposes a fingerprint matching method based on multiple reference point pairs. Background technique [0002] Fingerprint matching is the last stage of the three processing stages of the automatic fingerprint identification algorithm (fingerprint collection, fingerprint preprocessing and fingerprint matching), and is one of the key steps to determine the performance of the algorithm. The problem to be solved in fingerprint matching is to measure the similarity of the feature information extracted from two given fingerprint images, and finally judge whether the two fingerprints come from the same finger. [0003] The realization and performance of the fingerprint matching algorithm are closely related to the selected fingerprint features. Fingerprint features can usually be divided into global features, local features and subtle features. Global features such...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 史智臣张宏伟
Owner SHANDONG ZHIHUA INFORMATION TECH
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