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Palm vein feature extracting and matching method based on eight neighborhood and secondary matching

A palm vein, secondary matching technology, applied in the field of palm vein feature extraction and matching, can solve problems such as poor security of authentication methods

Active Publication Date: 2016-03-23
ZHEJIANG UNIV OF TECH
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  • Abstract
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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 eight neighborhoods and secondary matching

Method used

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  • Palm vein feature extracting and matching method based on eight neighborhood and secondary matching
  • Palm vein feature extracting and matching method based on eight neighborhood and secondary matching
  • Palm vein feature extracting and matching method based on eight neighborhood and secondary matching

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Embodiment Construction

[0065] The present invention will be further described below in conjunction with the accompanying drawings.

[0066] refer to Figure 1 to Figure 6 , a palm vein feature extraction and matching method based on eight-neighborhood and quadratic matching, the process is as follows:

[0067] 1) Collection of palm veins

[0068] 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. The experimental device uses 850nm and 940nm dual near-infrared LEDs and a high-definition CMOS camera to obtain palm vein images.

[0069] 2) Pretreatment of palm veins

[0070] The quality of the vein image directly affects the recognition r...

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Abstract

The invention relates to a palm vein feature extracting and matching method based on eight neighborhood and secondary matching. The method comprises the following steps that 1) a palm vein image is collected; 2) the collected vein image is pre-processed, a palm is extracted in a binary manner, key points of the palm are positioned, and the vein image is enhanced by histogram equalization after normalization; 3) a vein contour is extracted from the enhanced vein image in a Niblack threshold segmentation method; and 4) feature points are extracted in the eight neighborhood algorithm, and a matching method in which local neighborhood matching is combined with European distance matching is used. The method provided by the invention is higher in the safety level.

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] The universality and necessity of computers is the inevitable result of the development of today's information technology, which makes the whole society a combination of information and network. How to further strengthen the security of social informatization and network has become the top priority of urgent problems to be solved. , and identity authentication is a basic method used throughout the ages. There are two traditional methods of identity authentication, one is identity authentication based on markers (keys, certificates); the other is identity authentication based on knowledge (passwords, card numbers), but the defects of both are through "Identity authentication, and these extraneous things are easy to be forged or impersonated. To eliminate these hidde...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/10G06V40/14G06V10/464G06F18/22
Inventor 陈朋孙中海陈志祥徐天宇蔡烜伟来平
Owner ZHEJIANG UNIV OF TECH
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