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%.
@article{arxiv.1005.0945,
title = {An Efficient Vein Pattern-based Recognition System},
author = {Mohit Soni and Sandesh Gupta and M. S. Rao and Phalguni Gupta},
journal= {arXiv preprint arXiv:1005.0945},
year = {2016}
}
Comments
IEEE Publication format, International Journal of Computer Science and Information Security, IJCSIS, Vol. 8 No. 1, April 2010, USA. ISSN 1947 5500, http://sites.google.com/site/ijcsis/