CHEN Liukui, ZHENG Hong. Finger Vein Image Recognition Based on Tri-value Template Fuzzy Matching[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 157-162.
Citation: CHEN Liukui, ZHENG Hong. Finger Vein Image Recognition Based on Tri-value Template Fuzzy Matching[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 157-162.

Finger Vein Image Recognition Based on Tri-value Template Fuzzy Matching

  • In order to reduce the effect of fuzzy edges and tips of vein feature image in the template matching,we present a tri-value template fuzzy match algorithm,which segments the vein feature image into three areas: subject area,fuzzy area and background area;compute the average distance between the non-background areas as the similarity score between the matching templates.It is robust against the fuzzy edges and tips by increase the distance norm to the fuzzy area.The recognition accuracy rate,99.46%,to 456 near-infrared finger vein images,shows that our proposed method is feasible and practical.
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