Inverse biometrics: A case study in hand geometry authentication

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dc.contributor.author Gómez-Barrero, Marta
dc.contributor.author Galbally Herrero, Javier
dc.contributor.author Fiérrez, Julián
dc.contributor.author Ortega-García, Javier
dc.contributor.other UAM. Departamento de Tecnología Electrónica y de las Comunicaciones es_ES
dc.date.accessioned 2015-03-18T17:39:07Z
dc.date.available 2015-03-18T17:39:07Z
dc.date.issued 2012
dc.identifier.citation 2012 21st International Conference on Pattern Recognition, ICPR. IEEE, 2012. 1281 - 1284 en_US
dc.identifier.isbn 978-1-4673-2216-4
dc.identifier.issn 1051-4651
dc.identifier.uri http://hdl.handle.net/10486/664682
dc.description 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 - 1284 en_US
dc.description.abstract 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. en_US
dc.description.sponsorship 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. en_US
dc.format.extent 5 pág. es_ES
dc.format.mimetype application/pdf en
dc.language.iso eng en
dc.publisher IEEE en_US
dc.relation.ispartof International Conference on Pattern Recognition en_US
dc.rights © 2012 IEEE en_US
dc.subject.other Feature extraction en_US
dc.subject.other Geometry en_US
dc.subject.other Image reconstruction en_US
dc.subject.other Palmprint recognition en_US
dc.subject.other Shape recognition en_US
dc.title Inverse biometrics: A case study in hand geometry authentication en_US
dc.type conferenceObject en
dc.type bookPart en
dc.subject.eciencia Telecomunicaciones es_ES
dc.relation.publisherversion http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6460373 en_US
dc.identifier.publicationfirstpage 1281
dc.identifier.publicationlastpage 1284
dc.relation.eventdate November 11-15, 2012 en_US
dc.relation.eventnumber 21
dc.relation.eventplace Tsukuba (Japan) en_US
dc.relation.eventtitle 21st International Conference on Pattern Recognition, ICPR 2012 en_US
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1485/CONTEXTS es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/257289 en
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/284989 en
dc.type.version info:eu-repo/semantics/acceptedVersion en
dc.contributor.group Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002) es_ES
dc.rights.accessRights openAccess en
dc.authorUAM Fierrez Aguilar, Julián (261834)
dc.authorUAM Galbally Herrero, Javier (261846)


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