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A novel hand reconstruction approach and its application to vulnerability assessment

Author
Gómez-Barrero, Marta; Galbally Herrero, Javier; Morales Moreno, Aythamiuntranslated; Ferrer, Miguel Ángel; Fiérrez Aguilar, Juliánuntranslated; Ortega-García, Javier
Entity
UAM. Departamento de Tecnología Electrónica y de las Comunicaciones
Publisher
Elsevier B.V.
Date
2014-06-01
Citation
10.1016/j.ins.2013.06.015
Information Sciences. 238 (2014): 103-121
 
 
 
ISSN
0020-0255 (print); 1872-6291 (online)
DOI
10.1016/j.ins.2013.06.015
Funded by
This work has been partially supported by projects Contexts (S2009/TIC-1485) from CAM, Bio-Challenge (TEC2009-11186), BIOSINT (TEC2012-38630-C04-02) and Bio-Shield (TEC2012-34881) from Spanish MINECO, TABULA RASA (FP7-ICT-257289) and BEAT (FP7-SEC-284989) from EU, and Cátedra UAM-Telefónica. Marta Gomez-Barrero is supported by a FPU Fellowship from Spanish MECD.
Project
info:eu-repo/grantAgreement/EC/FP7/257289; info:eu-repo/grantAgreement/EC/FP7/284989; Comunidad de Madrid. S2009/TIC-1485/CONTEXTS
Editor's Version
http://dx.doi.org/10.1016/j.ins.2013.06.015
Subjects
Biometric system; Hand recognition; Hand reconstruction; Security; Vulnerability; Telecomunicaciones
URI
http://hdl.handle.net/10486/662092
Note
This is the author’s version of a work that was accepted for publication in Information Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Information Sciences, 238 (2014) DOI: 10.1016/j.ins.2013.06.015
Rights
© 2014 Elsevier B.V. All rights reserved

Licencia de Creative Commons
Esta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional.

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.
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Google™ Scholar:Gómez-Barrero, Marta - Galbally Herrero, Javier - Morales Moreno, Aythami - Ferrer, Miguel Ángel - Fiérrez Aguilar, Julián - Ortega-García, Javier

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  • Producción científica en acceso abierto de la UAM [14677]

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