Biometric identification by means of hand geometry and a neural net classifier

Abstract

This Paper describes a hand geometry biometric identification system. We have acquired a database of 22 people using a conventional document scanner. The experimental section consists of a study about the discrimination capability of different extracted features, and the identification rate using different classifiers based on neural networks.

arXiv comment8 pages, published in In Proceedings of the 8th international conference on Artificial Neural Networks computational Intelligence and Bioinspired Systems (IWANN 2005). Springer Verlag, Berlin, Heidelberg, 1172 1179