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, so as to enhance feature anti-interference ability, speed up algorithm matching speed, and improve inter-class The effect of discriminative ability

CN105184272AActive Publication Date: 2015-12-23NAT UNIV OF DEFENSE TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2015-12-23

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Abstract

The present invention provides a hand vein recognition method based on curve matching. The method comprises the steps of firstly scanning the vein branch curves according to the venous line endpoints and the intersection points, then extracting the characteristics of each curve, such as the curvature, the length, etc., and finally, realizing the reliable recognition of the hand veins by combining the coarse screening and the curve matching. Under the premise of enhancing the anti-interference ability of the characteristics, the inter-cluster distinguishing ability of the characteristics is improved, and the reliable recognition of the hand veins is realized. The hand vein recognition method based on curve matching of the present invention solves the problems that the sample rotation and translation influences the recognition, the algorithm matching speed is accelerated, etc., and the efficiency of the method accords with the requirements of a mode recognition system. The hand vein recognition method based on curve matching of the present invention enables the hand vein recognition performance to be improved effectively, and is widely used in an intelligent access control system.
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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 ...

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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 adopts the optimized repeated line tracking method proposed in the literature "Analgorithmforfinger-veinsegmentation based on modified repeated line tracking (ImagingScienceJournal, 2013)"; in the image filtering stage, the opening operation of mathematical morphology is used to filter out the noise, and then the closing operation is used to fill the holes. The window size is set to 7×7 (unit: pixel); the image refinement adopts the hit or miss transformation of math...