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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Faundez-Zanuy, M., & Mérida, G. M. N. (2005). Biometric identification by means of hand geometry and a neural net classifier. In Lecture Notes in Computer Science (Vol. 3512, pp. 1172–1179). Springer Verlag. https://doi.org/10.1007/11494669_144
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