Computer Science ›› 2011, Vol. 38 ›› Issue (9): 257-259.
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WANG Ke-jun, LIU Jing-yu, LI Xue-feng
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Abstract: Raised a new finger vein recognition algorithm, the method uses the essential feature of inner finger vein feature structure to match the finger vein. First, extracts the endpoint and crosspoint in the finger vein images which have been thinned and repaired. Then computes the distance between these points. Lastly accomplishes the finger vein image recognition by comparing these distance value. The method integrates the vein's inherent feature and makes full use of the essential property of topology structure, and the localization is needless, so the method is simple and easily to be executed. The experiment result indicates that the algorithm effectivly overcomes the influence of image translation and rotation,and the identity recognition can be executed fast and exactly. So the method has a actual applicative value and an cvolvablc forground.
Key words: Vein recognition, Topology structure, Tndpoint and crosspoint, Relative distanc
WANG Ke-jun, LIU Jing-yu, LI Xue-feng. Finger Vein Recognition Algorithm Based on Relative Distance[J].Computer Science, 2011, 38(9): 257-259.
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