Hand Vein Recognition Method Based on Curve Matching

A vein recognition and curve technology, applied in biometrics recognition, character and pattern recognition, instruments, etc., can solve the problems of recognition influence and speed up algorithm matching speed, and achieve the goal of enhancing feature anti-interference ability, improving performance and speeding up feature matching speed Effect

Active Publication Date: 2018-08-21
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
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AI Technical Summary

Problems solved by technology

The invention solves the problems of the influence of sample rotation and translation on recognition, speeds up algorithm matching, etc., and the efficiency of the method meets the requirements of the pattern recognition system

Method used

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  • Hand Vein Recognition Method Based on Curve Matching
  • Hand Vein Recognition Method Based on Curve Matching
  • Hand Vein Recognition Method Based on Curve Matching

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Embodiment Construction

[0044] The present invention will be further described in detail below in conjunction with specific embodiments and accompanying drawings.

[0045] The flow chart of the present invention is as figure 1 Shown, describe concrete steps of the present invention in detail below in conjunction with flowchart:

[0046] 1. Extraction of vein lines on the back of the hand

[0047] Hand vein texture extraction includes three parts: image segmentation, image filtering and image thinning. Among them, the image segmentation is carried out using the optimized repeated line tracking method proposed in the literature "An algorithm for finger-vein segmentation based on modified repeated line tracking (Imaging Science Journal, 2013)"; the image filtering stage first uses the opening operation of mathematical morphology to filter out noise , and then use the closed operation to fill the hole, where the filter window size is set to 7×7 (unit: pixel); the image refinement adopts the hit or miss...

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Abstract

The invention provides a dorsal hand vein recognition method based on curve matching. Firstly, the vein branch curves are scanned according to the endpoints and intersection points of the vein patterns, and then features such as curvature and length on each curve are extracted, and finally combined with rough screening and curve matching to realize reliable identification of veins on the back of the hand; under the premise of enhancing the anti-interference ability of the features , improve the inter-class discrimination ability of features, and achieve reliable recognition of dorsal hand veins. The invention solves the problems that sample rotation and translation affect recognition, accelerates algorithm matching speed, and the like, and the efficiency of the method meets the requirements of a pattern recognition system. The invention can effectively improve the recognition performance of veins on the back of the hand, and is widely used in intelligent access control systems.

Description

technical field [0001] The invention relates to the technical field of security biometric feature recognition, in particular to a method for recognizing veins on the back of a hand. Background technique [0002] Vein recognition is currently a research hotspot in the field of biometric identification. Its main advantage is that veins are hidden inside the body and are not easy to be copied, stolen or interfered with. It can be widely used in the fields of access control and attendance in banks, offices, shopping malls and other places, and has great theoretical research significance and market application value. Currently, vein recognition mainly includes finger vein recognition, palm vein recognition and hand vein recognition. Compared with finger veins, veins on the back of the hand have richer features, are less affected by rotation changes, and are more significant and robust; compared with palm veins, palm veins are easily disturbed by palm prints, and the acquisition ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/10G06V40/14
Inventor 谢剑斌刘通李沛秦闫玮
Owner NAT UNIV OF DEFENSE TECH
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