Personal Identification by Finger Vein Images Based on Tri-value Template Fuzzy Matching

Abstract

To reduce the effect of fuzzy vein edges and tips of the infrared finger vein recognition, this paper presents a tri-value template fuzzy matching algorithm, which segments the vein feature image into three areas: subject area, fuzzy area and background area, and computes the average distance of non-background point to non-background area as the dissimilarity score between the two templates. The proposed matching method is robust against the fuzzy edges and tips. The experimental results show that the proposed method is feasible and practical by the recognition accuracy rate, 99.46 %, to 456 near-infrared finger vein images. Key-Words: Personal identification; Infrared finger vein; Tri-value template; Fuzzy matching

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Cite this paper

@inproceedings{Chen2009PersonalIB, title={Personal Identification by Finger Vein Images Based on Tri-value Template Fuzzy Matching}, author={Liukui Chen and Hong Zheng}, year={2009} }