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Research on Palm-Dorsa Vein Recognition Method

Author: Wang
Tutor: YuanZuoZuo
School: Shenyang University of Technology
Course: Applied Computer Technology
Keywords: Biometric Hand Vein Recognition Pretreatment Feature Extraction Feature classification
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 136
Quote: 0
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Abstract


With the advent of the information age , information security is particularly important . How to accurately identify a person's identity , and the protection of information security is a social key issues that must be addressed today . The use of biometric identification , show a great superiority and reliability due to the use of the body 's inherent physiological and behavioral characteristics . Among them, the back of the hand vein near-infrared image recognition is a new kind of non-contact biometric authentication technology , has been widespread concern in recent years . Dorsal hand vein recognition is a method of identification is carried out by analyzing the characteristic of the veins on the back of the hand . This paper first analyzes some of the advantages of the the vein recognition theoretical basis and relative to other biometric identification . Then study the dorsal hand vein recognition interception in the vein of the effective area , the vein image segmentation , vein feature extraction and feature matching algorithm and improved algorithm . Dorsal hand vein image the vein image pre-processing module , the first effective regional location , image enhancement and segmentation vein image ; image enhancement using normalized median filter, low-pass filtering , enhanced processing technology ; image segmentation using a suitable vein image segmentation method - threshold image method . Divided image denoising , and refine the process to meet the requirements of the vein image . Feature extraction and matching module , this paper presents a hand vein recognition method based on the characteristics of venous structures based 2DFLD hand vein recognition method , based on a new method of moments template matching characteristics recognition technology , and at the same time made ??better recognition results . Experiment which , based 2DFLD hand vein recognition method on a database of 57 samples , the recognition rate up to 96.49% , is an effective hand vein recognition method . Expected on the back of the hand vein recognition research .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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