Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46163
Title: Hand geometry based recognition with a MLP classifier
Authors: Faundez-Zanuy, Marcos
Ferrer-Ballester, Miguel A. 
Travieso-González, Carlos M. 
Espinosa-Duro, Virginia
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Handwrite recognition
Issue Date: 2006
Journal: Lecture Notes in Computer Science 
Conference: International Conference on Biometrics 
Abstract: 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
Source: 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
Appears in Collections:Actas de congresos
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