Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/44113
| Título: | Automatic biometric identification system by hand geometry | Autores/as: | González, Santiago Travieso, Carlos M. Alonso, Jesús B. Ferrer, Miguel A. |
Clasificación UNESCO: | 3307 Tecnología electrónica | Fecha de publicación: | 2003 | Publicación seriada: | IEEE Annual International Carnahan Conference on Security Technology, Proceedings | Conferencia: | 37th Annual International Carnahan Conference on Security Technology Proceedings: 37th Annual 2003 International Carnahan Conference on Security Technology |
Resumen: | 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 | Fuente: | IEEE Annual International Carnahan Conference on Security Technology, Proceedings, p. 281-284 |
| Colección: | Actas de congresos |
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