Feature progressive finger vein image accurate matching method based on ULBP and SURF

A finger vein, accurate matching technology, applied in the field of recognition algorithms, can solve the problems of long calculation time, small gray scale, and low recognition accuracy.

Active Publication Date: 2021-09-07
SOUTHWEAT UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0026] In order to solve the problems existing in the prior art, the present invention provides a progressive feature-based finger vein image matching method based on ULBP and SURF, which solves the problems of a single ULBP algorithm, small grayscale range, and low recognition accuracy. And the fine matching of the SURF algorithm leads to problems such as long calculation time

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  • Feature progressive finger vein image accurate matching method based on ULBP and SURF
  • Feature progressive finger vein image accurate matching method based on ULBP and SURF
  • Feature progressive finger vein image accurate matching method based on ULBP and SURF

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Embodiment Construction

[0066] Embodiments of the patent of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0067] The specific embodiments of the patent of the present invention are described below so that those skilled in the art can understand the patent of the present invention, but it should be clear that the patent of the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as Various changes are within the spirit and scope of the patent of the invention defined and determined by the appended claims, and these changes are obvious, and all inventions and creations utilizing the concept of the patent of the present invention are all included in the protection list.

[0068] like figure 1 As shown, this method mainly uses ULBP and SURF technology to extract features from the image. When extracting ULBP features, the Gabor filter is used to enhance the texture of the image...

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Abstract

The invention discloses a feature progressive finger vein image accurate matching method based on a ULBP (Uniform Local Binary Pattern) and SURF. The method comprises the following steps: S1, preprocessing a finger vein image; S2, carrying out image enhancement on the preprocessed image; S3, matching the extracted features with feature information in a database, and outputting a matching result. A coarse-to-fine finger vein recognition algorithm is realized; the problems that a single ULBP algorithm is small in gray scale range and low in recognition precision, and time consumption is too long when matching is conducted through SURF feature points are solved.

Description

technical field [0001] The invention relates to the field of recognition algorithms, in particular to an accurate matching method of finger vein images based on ULBP and SURF feature progression. Background technique [0002] With the gradual acceleration of information construction, this society is becoming more and more intelligent, and the ways people use for identification tend to be diversified. Identification technology is more and more used in people's daily life, but identification technology with low security level may cause greater property or item loss. Therefore, people have higher requirements for the security performance of identification, and they all hope to avoid the misfortune caused by wrong identification. At present, traditional identification methods mainly rely on distinguishable information such as keys, ID cards, passwords, tokens, etc., but these information need to be carried with you, so there are disadvantages such as easy to leak, easy to lose,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06F18/22
Inventor 周颖玥黄易豪李佳阳王欣宇
Owner SOUTHWEAT UNIV OF SCI & TECH
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