Biometric identification by means of hand geometry and a neural net classifier
Computer Vision and Pattern Recognition
2022-04-11 v1
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.
Keywords
Cite
@article{arxiv.2204.03925,
title = {Biometric identification by means of hand geometry and a neural net classifier},
author = {Marcos Faundez-Zanuy and Guillermo Mar Navarro Mérida},
journal= {arXiv preprint arXiv:2204.03925},
year = {2022}
}
Comments
8 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