Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46143
Title: A novel hand reconstruction approach and its application to vulnerability assessment
Authors: Gomez-Barrero, Marta
Galbally, Javier
Morales, Aythami
Ferrer, Miguel A. 
Fierrez, Julian
Ortega-Garcia, Javier
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Hand recognition
Biometric system
Hand reconstruction
Security
Vulnerability
Issue Date: 2014
Publisher: 0020-0255
Journal: Information Sciences 
Abstract: 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
Source: Information Sciences[ISSN 0020-0255],v. 268, p. 103-121
Appears in Collections:Artículos
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