Inverse biometrics: A case study in hand geometry authentication
Entity
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesPublisher
IEEEDate
2012Citation
2012 21st International Conference on Pattern Recognition, ICPR. IEEE, 2012. 1281 - 1284ISSN
1051-4651ISBN
978-1-4673-2216-4Funded by
This work has been partially supported by projects Contexts (S2009/TIC-1485) from CAM, TEC2009- 11186 and TEC2009-14123 from Spanish MINECO, TABULA RASA (FP7-ICT-257289) and BEAT (FP7-SEC-284989) from EU, and Cátedra UAM-Telefónica.Project
Comunidad de Madrid. S2009/TIC-1485/CONTEXTS; info:eu-repo/grantAgreement/EC/FP7/257289; info:eu-repo/grantAgreement/EC/FP7/284989Editor's Version
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6460373Subjects
Feature extraction; Geometry; Image reconstruction; Palmprint recognition; Shape recognition; TelecomunicacionesNote
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. M. Gómez-Barrero, J. Galbally, J. Fiérrez and J. Ortega-Garcia, "Inverse biometrics: A case study in hand geometry authentication" in 21st International Conference on Pattern Recognition (ICPR), Tsukuba (Japan), 2012, 1281 - 1284Rights
© 2012 IEEEAbstract
Recently, a considerable amount of research has been focused on inverse biometrics, that is, regenerating the original biometric sample from its template. In this work, the first reconstruction approach to recover hand geometry samples from their feature vectors is proposed. Experiments are carried out on the publicly available GPDS Hand DB, where the method has shown a remarkable performance, after reconstructing a very high percentage of the hands included in the dataset. Furthermore, the proposed technique is general, being able to successfully reproduce the original hand shape sample regardless of the information and format of the template used.
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Google Scholar:Gómez-Barrero, Marta
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Galbally Herrero, Javier
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Fiérrez Aguilar, Julián
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Ortega García, Javier
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