Texture-based finger vein feature matching method

A finger vein feature, finger vein technology, applied in the field of texture-based finger vein feature matching, can solve the problem of limited number of feature points algorithm complexity, reduce the dimension of finger vein feature vector, improve the recognition rate, improve The effect of recognition efficiency

Inactive Publication Date: 2018-10-19
LIAONING TECHNICAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the theoretical method based on structural features is limited by the number of feature points and the complexity of the algorithm, so it has certain limitations.

Method used

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  • Texture-based finger vein feature matching method
  • Texture-based finger vein feature matching method
  • Texture-based finger vein feature matching method

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Embodiment Construction

[0032] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0033] In this embodiment, taking the database of Tianjin Key Laboratory of Intelligent Signal and Image Processing and the FINGER VEIN USM (FV-USM) database of University of Malaysia as examples, the texture-based finger vein feature matching method of the present invention is used to extract and match finger vein features.

[0034] A texture-based finger vein feature matching method, such as figure 1 shown, including the following steps:

[0035] Step 1. Perform vein feature extraction on the two finger vein images to be matched to obtain the encoding vector of each image;

[0036] The specific method for vein feature extraction of each finger vein image is as follows:...

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Abstract

The invention provides a texture-based finger vein feature matching method and relates to the technical field of image recognition and processing. The texture-based finger vein feature matching methodcomprises a step of carrying out Gabor transform of 5 scales and 8 directions on a pre-processed finger vein image, a step of fusing an image of each scale by using curve wave transform to reduce a feature dimensionality, thus obtaining an image with the integration of a Gabor feature and carrying out neighbor binary mode encoding on the image to obtain a feature vector, and a step of carrying out matching recognition by using a Hamming distance. According to the texture-based finger vein feature matching method provided by the invention, the disadvantage that a typical finger vein feature extraction method can not effectively acquire the texture features of a finger vein is overcome, the vector dimensionality of the extracted finger vein feature is reduced, the finger vein texture features can be effectively obtained, the recognition rate of finger recognition is improved, and the recognition efficiency is improved at the same time.

Description

technical field [0001] The invention relates to the technical field of image recognition and processing, in particular to a texture-based finger vein feature matching method. Background technique [0002] With the development of science and technology and information technology, the security of identity authentication has been widely valued by people. Since traditional identification methods such as passwords and ID cards have security risks such as easy loss and theft, they can no longer meet people's requirements for identification security. Therefore, various biometric identification technologies rely on high security and Convenience is favored by users. Compared with fingerprint recognition, face recognition, iris recognition and other biometric recognition technologies, human finger vein biometric recognition has its unique advantages, such as better stability, anti-copying, uniqueness and universality. . Therefore, finger vein authentication has high research value ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/10G06V40/14G06V10/443G06F18/253
Inventor 李新春曹志强林森
Owner LIAONING TECHNICAL UNIVERSITY
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