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A Method for Finger Vein Recognition using a New Matching Algorithm  

Kim, Hee-Sung (서울시립대학교 컴퓨터과학부)
Cho, Jun-Hee (서울시립대학교 컴퓨터과학부)
Publication Information
Journal of KIISE:Software and Applications / v.37, no.11, 2010 , pp. 859-865 More about this Journal
Abstract
In this paper, a new method for finger vein recognition is proposed. Researchers are recently interested in the finger vein recognition since it is a good way to avoid the forgery in finger prints recognition and the inconveniences in obtaining images of the iris for iris recognition. The vein images are processed to obtain the line shaped vein images through the local histogram equalization and a thinning process. This thinned vein images are processed for matching, using a new matching algorithm, named HS(HeeSung) matching algorithm. This algorithm yields an excellent recognition rate when it is applied to the curve-linear images processed through a thinning or an edge detection. In our experiment with the finger vein images, the recognition rate has reached up to 99.20% using this algorithm applied to 650finger vein images(130person ${\times}$ 5images each). It takes only about 60 milliseconds to match one pair of images.
Keywords
biometrics; finger vein recognition; HS(HeeSung) Matching algorithm;
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