Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44113
Title: Automatic biometric identification system by hand geometry
Authors: González, Santiago 
Travieso, Carlos M. 
Alonso, Jesús B. 
Ferrer, Miguel A. 
UNESCO Clasification: 3307 Tecnología electrónica
Issue Date: 2003
Journal: IEEE Annual International Carnahan Conference on Security Technology, Proceedings
Conference: 37th Annual International Carnahan Conference on Security Technology 
Proceedings: 37th Annual 2003 International Carnahan Conference on Security Technology 
Abstract: In this paper we propose a novel and simple method to recognize individuals based on their hand-palm geometry. A compact set of parameters has been extracted and reduced using different transformations. Two classification methods have been implemented: Neural Networks (NN) based on the commonly used Multilayer Perceptron (MLP) and the most nearby neighbor classifier (KNN). Results show that not complex algorithms are required in the classification phase to obtain high recognition values. In our simulations, rates beyond 99% have been achieved.
URI: http://hdl.handle.net/10553/44113
ISBN: 0-7803-7882-2
Source: IEEE Annual International Carnahan Conference on Security Technology, Proceedings, p. 281-284
Appears in Collections:Actas de congresos
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