Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46143
Título: A novel hand reconstruction approach and its application to vulnerability assessment
Autores/as: Gomez-Barrero, Marta
Galbally, Javier
Morales, Aythami
Ferrer, Miguel A. 
Fierrez, Julian
Ortega-Garcia, Javier
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Hand recognition
Biometric system
Hand reconstruction
Security
Vulnerability
Fecha de publicación: 2014
Editor/a: 0020-0255
Publicación seriada: Information Sciences 
Resumen: The present work proposes a novel probabilistic method to reconstruct a hand shape image from its template. We analyse the degree of similarity between the reconstructed images and the original samples in order to determine whether the synthetic hands are able to deceive hand recognition systems. This analysis is made through the estimation of the success chances of an attack carried out with the synthetic samples against an independent system. The experimental results show that there is a high chance of breaking a hand recognition system using this approach. Furthermore, since it is a probabilistic method, several synthetic images can be generated from each original sample, which increases the success chances of the attack.
URI: http://hdl.handle.net/10553/46143
ISSN: 0020-0255
DOI: 10.1016/j.ins.2013.06.015
Fuente: Information Sciences[ISSN 0020-0255],v. 268, p. 103-121
Colección:Artículos
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