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Palm vein feature extraction and matching method based on fusion of two subspaces

A technology of feature extraction and matching method, which is applied in the field of palm vein feature extraction and matching, and can solve problems such as poor security

Active Publication Date: 2019-11-05
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the poor security of the existing identity verification methods, the present invention provides a palm vein feature extraction and matching method based on the fusion of two subspaces with high security

Method used

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  • Palm vein feature extraction and matching method based on fusion of two subspaces
  • Palm vein feature extraction and matching method based on fusion of two subspaces
  • Palm vein feature extraction and matching method based on fusion of two subspaces

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Embodiment Construction

[0057] The present invention will be further described below in conjunction with the accompanying drawings.

[0058] refer to Figure 1 to Figure 4 , a palm vein feature extraction and matching method based on the fusion of two subspaces, the process is as follows:

[0059] 1) Collection of palm veins

[0060] The vein image collected by the palm vein collection device. The principle of the vein collection device is: according to the characteristics of human muscles and bones, when a certain range of near-infrared light irradiates the human body, the hemoglobin in the veins of the human body can absorb more near-infrared radiation than the subcutaneous tissue, which can be well to present the venous vascular structure. This experimental device uses 850nm and 940nm dual near-infrared LEDs and a high-definition CMOS camera to obtain palm vein images.

[0061] 2) Pretreatment of palm veins

[0062] The quality of the vein image directly affects the recognition rate of the sy...

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Abstract

A palm vein feature extraction and matching method based on the fusion of two subspaces, comprising the following steps: 1) collecting palm vein images; 2) preprocessing the collected vein images: binarization to extract the palm, and performing palm key Point positioning, using anisotropic diffusion for smoothing, and using logarithmic grayscale transformation to enhance the vein image; 3) using a subspace-based feature extraction algorithm combining 2DPCA and 2DFLD to extract its features; 4) Use the Hausdorff distance to match user identities in the projection space. The invention provides a palm vein feature extraction and matching method based on the fusion of two subspaces with high security.

Description

technical field [0001] The invention relates to the technical field of contact biological feature identification, in particular to a palm vein feature extraction and matching method. Background technique [0002] In today's society, with the rapid development of information technology, especially the Internet, the entire society has become a combination of information and networks. How to further strengthen the security of social informatization and networking has become the top priority of urgent problems to be solved. Identity verification is the basic method and premise for people to strengthen information security. In real life, identity authentication is required in many occasions, such as logging in to a computer, logging into a website, handling business at a bank, identifying suspects, entering a military location, and so on. Therefore, an effective identity verification method can bring safety, convenience and benefit to our life, and can bring stability, order and...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/10G06V40/14G06V10/443G06F18/2411
Inventor 陈朋史金专孙中海金礼聪梁荣华
Owner ZHEJIANG UNIV OF TECH