Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2010-05-06
Computer Science
Computer Vision and Pattern Recognition
IEEE Publication format, International Journal of Computer Science and Information Security, IJCSIS, Vol. 8 No. 1, April 2010,
Scientific paper
This paper presents an efficient human recognition system based on vein pattern from the palma dorsa. A new absorption based technique has been proposed to collect good quality images with the help of a low cost camera and light source. The system automatically detects the region of interest from the image and does the necessary preprocessing to extract features. A Euclidean Distance based matching technique has been used for making the decision. It has been tested on a data set of 1750 image samples collected from 341 individuals. The accuracy of the verification system is found to be 99.26% with false rejection rate (FRR) of 0.03%.
Gupta Phalguni
Gupta Sandesh
Rao Someswara M.
Soni Mohit
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