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A hand back vein identity recognition method

A technology of identity recognition and back of the hand, applied in the field of vein recognition, can solve the problems of easily forgotten or misremembered marked knowledge, easy lost and forged marked objects, etc.

Inactive Publication Date: 2019-06-25
HEBEI UNIVERSITY
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Problems solved by technology

But both have insurmountable defects: markers are easy to be lost or forged, and marker knowledge is easy to forget or be misremembered; more seriously, these traditional identification methods are often unable to distinguish the real owner from the impostor. When others obtain these markers, they have the same rights
At present, there are technologies related to finger vein recognition on the market, but the veins that can be identified are relatively small and small in number, and the accuracy and speed of recognition are not as good as those of the veins on the back of the hand.

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  • A hand back vein identity recognition method
  • A hand back vein identity recognition method
  • A hand back vein identity recognition method

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Embodiment Construction

[0052] The research of this invention comes from the Innovation and Entrepreneurship Training Program for College Students of Hebei University, and the project number is 201810075019. The method involved in the technical scheme of the present invention is realized based on the vein identification system mainly composed of vein acquisition module, image processing module, feature extraction module and vein matching module, and adopts MATLAB R2014b to realize the processing process in the computer of Windows7 system. The vein acquisition module is a near-infrared image acquisition device, which mainly includes infrared light source, industrial camera, optical filter, camera lens, hardware bracket, astigmatism plate, display module, voice module, power module, etc., and is an existing conventional design structure . The image processing module is based on the normalization of the gray level at the pixel level and the normalization of the image size, and denoises the image through...

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Abstract

The invention discloses a hand back vein identity recognition method. Near-infrared light image acquisition equipment is used for irradiating the hand back, a hand back vein real-time image is acquired, then a series of specific preprocessing is carried out on the image, and then feature matching based on an SIFT algorithm is carried out on the two same preprocessed images, so that identity recognition is achieved. Aiming at the defects in the prior art, the identification algorithm is focused and optimized, the identification speed is 0.87 s, the identification rejection rate is 0.0033, the false identification rate is 0.002899, and the identification effect is far better than that of existing biological equipment. According to the invention, the accuracy and speed of vein recognition areimproved, and the method can be widely applied to the field of safety verification.

Description

technical field [0001] The invention relates to vein identification technology, in particular to a method for identifying veins on the back of the hand. Background technique [0002] The rapid development of information technology and the continuous progress of human society have put forward newer and higher requirements for information technology. At present, there are more and more people's identification needs. How to accurately identify a person's identity, ensure information security, and realize digitalization and invisibility of identity has become a key problem that must be solved in the information age. [0003] There are two main traditional identity authentication methods: one is based on identity markers (such as keys, certificates, cards, etc.) certified. But both have insurmountable defects: markers are easily lost or forged, and marker knowledge is easily forgotten or misremembered; more seriously, these traditional identification methods are often unable to...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 刘秀玲熊鹏娄存广董丽梅李凯杜海曼杨建利刘明何文博刘银松
Owner HEBEI UNIVERSITY
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