A novel hand reconstruction approach and its application to vulnerability assessment
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A novel hand reconstruction approach and its application to vulnerability assessment
Title:
A novel hand reconstruction approach and its application to vulnerability assessment
Author:
Gómez-Barrero, Marta; Galbally Herrero, Javier; Morales Moreno, Aythami; Ferrer, Miguel Ángel; Fiérrez, Julián; Ortega-García, Javier
Entity:
UAM. Departamento de Tecnología Electrónica y de las Comunicaciones
UAM Author:
Fierrez Aguilar, Julián
; Galbally Herrero, Javier
; Morales Moreno, Aythami
; Galbally Herrero, Javier
; Morales Moreno, Aythami
Publisher:
Elsevier B.V.
Date:
2014-06-01
Citation:
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
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
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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™ Scholar:
Gómez-Barrero, Marta
-
Galbally Herrero, Javier
-
Morales Moreno, Aythami
-
Ferrer, Miguel Ángel
-
Fiérrez, Julián
-
Ortega-García, Javier
This item appears in the following Collection(s)
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EPTEC - Artículos [174]
-
OpenAIRE: Open Access Infrastructure for Research in Europe [1189]
(Resultados de investigación financiados por el 7PM y H2020 de la UE)