arXiv · 2204.03925
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.
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Marcos Faundez-Zanuy, Guillermo Mar Navarro Mérida. 2022-04-08. Biometric identification by means of hand geometry and a neural net classifier. https://arxiv.org/abs/2204.03925
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