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http://hdl.handle.net/10553/46163
| Título: | Hand geometry based recognition with a MLP classifier | Autores/as: | Faundez-Zanuy, Marcos Ferrer-Ballester, Miguel A. Travieso-González, Carlos M. Espinosa-Duro, Virginia |
Clasificación UNESCO: | 3307 Tecnología electrónica | Palabras clave: | Handwrite recognition | Fecha de publicación: | 2006 | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | International Conference on Biometrics | Resumen: | This paper presents a biometric recognition system based on hand geometry. We describe a database specially collected for research purposes, which consists of 50 people and 10 different acquisitions of the right hand. This database can be freely downloaded. In addition, we describe a feature extraction procedure and we obtain experimental results using different classification strategies based on Multi Layer Perceptrons (MLP). We have evaluated identification rates and Detection Cost Function (DCF) values for verification applications. Experimental results reveal up to 100% identification and 0% DCF. | URI: | http://hdl.handle.net/10553/46163 | ISBN: | 978-3-540-31111-9 | ISSN: | 0302-9743 | Fuente: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 3832 LNCS, p. 721-727 |
| Colección: | Actas de congresos |
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