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Palm-Vein Recognition System

Posted on:2013-02-15Degree:MasterType:Thesis
Country:ChinaCandidate:H B TongFull Text:PDF
GTID:2218330371960923Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Biometric recognition technology is used for identification authentication by usinghuman's unique physical characteristics or behavioral traits. In information age, accurateidentification of a person's authentication and protect their information security hasbecome a critical social problem. The traditional identity authentication methods have beendifficult to meet the needs of society, and biometric recognition technology has become thepreferred choice.The palm-vein is a subcutaneous tissue. As the result of that, it is very difficult toforge. And vein also is a living body characteristics and uniqueness. All those featuresmake the palm-vein recognition technology having the higher reliability than otherbiometric recognition technology. The vein can be captured by Near-infrared non-contactimaging device. This paper has designed a palm-vein recognition system based onnon-contact imaging device, and the present experiments have shown that it is useful foraccess control, attendance and other small sample identification device.Because the image captured by non-contacted imaging device, the vein will existdeformation and displacement. As the result, matching is a big problem. To this end, thispaper presents matching algorithm based on displacement vectors of feature points, thisalgorithm can effectively solve these problems. The intersection of vein extracted asfeature points and the points will generate a set of vectors when the vein moved. The set ofthe vectors must be found, the number of the vectors will be used for matching. The largerthe number, the higher the similarity is. Experimental results show that this method issimple and rapid. The algorithms can effective solve the non-contact palm vein imagingdevice system-related problems.
Keywords/Search Tags:palm-vein, image filtering, non-contacted imaging device, feature pointsextraction, feature points'vectors
PDF Full Text Request
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