Increasing the Robustness of Biometric Templates for Dynamic Signature Biometric Systems

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dc.contributor.author Tolosana Moranchel, Rubén
dc.contributor.author Vera-Rodríguez, Rubén
dc.contributor.author Ortega-García, Javier
dc.contributor.author Fiérrez, Julián
dc.contributor.other UAM. Departamento de Tecnología Electrónica y de las Comunicaciones es_ES
dc.date.accessioned 2016-10-27T11:35:48Z
dc.date.available 2016-10-27T11:35:48Z
dc.date.issued 2015
dc.identifier.citation 2015 International Carnahan Conference on Security Technology (ICCST). IEEE, 2015. 229 - 234 en_US
dc.identifier.isbn 978-1-4799-8691-0
dc.identifier.issn 1071-6572
dc.identifier.uri http://hdl.handle.net/10486/674570
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. R. Tolosana, R. Vera-Rodriguez, J. Ortega-Garcia and J. Fierrez, "Increasing the robustness of biometric templates for dynamic signature biometric systems," Security Technology (ICCST), 2015 International Carnahan Conference on, Taipei, 2015, pp. 229-234. doi: 10.1109/CCST.2015.7389687 en_US
dc.description.abstract Due to the high deployment of devices such as smartphones and tablets and their increasing popularity in our society, the use of biometric traits in commercial and banking applications through these novel devices as an easy, quick and reliable way to perform payments is rapidly increasing. The handwritten signature is one of the most socially accepted biometric traits in these sectors due to the fact that it has been used in financial and legal transitions for centuries. In this paper we focus on dynamic signature verification systems. Nowadays, most of the state-of-the-art systems are based on extracting information contained in the X and Y spatial position coordinates of the signing process, which is stored in the biometric templates. However, it is critical to protect this sensible information of the users signatures against possible external attacks that would allow criminals to perform direct attacks to a biometric system or carry out high quality forgeries of the users signatures. Following this problem, the goal of this work is to study the performance of the system in two cases: first, an optimal time functions-based system taking into account the information related to X and Y coordinates and pressure, which is the common practice (i.e. Standard System). Second, we study an extreme case not considering information related to X, Y coordinates and their derivatives on the biometric system (i.e. Secure System), which would be a much more robust system against attacks, as this critical information would not be stored anywhere. The experimental work is carried out using e-BioSign database which makes use of 5 devices in total. The systems considered in this work are based on Dynamic Time Warping (DTW), an elastic measure over the selected time functions. Sequential Forward Features Selection (SFFS) is applied as a reliable way to obtain an optimal time functions vector over a development subset of users of the database. The results obtained over the evaluation subset of users of the database show a similar performance for both Standard and Secure Systems. Therefore, the use of a Secure System can be useful in some applications such as banking in order to avoid the lost of important user information against possible external attacks. en_US
dc.description.sponsorship This work was supported in part by the Project Bio-Shield (TEC2012-34881), in part by Cecabank e-BioFirma Contract, in part by the BEAT Project (FP7-SEC-284989) and in part by Catedra UAM-Telefonica. en_US
dc.format.extent 7 pag. es_ES
dc.format.mimetype application/pdf en
dc.language.iso eng en
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof Proceedings - International Carnahan Conference on Security Technology en_US
dc.rights © 2015 IEEE en_US
dc.subject.other Biometrics en_US
dc.subject.other Dynamic signature en_US
dc.subject.other Banking security en_US
dc.subject.other Feature selection en_US
dc.subject.other Time functions-based system en_US
dc.subject.other e-BioSign en_US
dc.title Increasing the Robustness of Biometric Templates for Dynamic Signature Biometric Systems en_US
dc.type conferenceObject en
dc.subject.eciencia Telecomunicaciones es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/CCST.2015.7389687
dc.identifier.doi 10.1109/CCST.2015.7389687
dc.identifier.publicationfirstpage 229
dc.identifier.publicationlastpage 234
dc.relation.eventdate September 21-24, 2015 en_US
dc.relation.eventnumber 49
dc.relation.eventplace Taipei (Taiwan) en_US
dc.relation.eventtitle 49th Annual IEEE International Carnahan Conference on Security Technology, ICCST 2015 en_US
dc.relation.projectID Gobierno de España. TEC2012-34881 es_ES
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 Tolosana Moranchel, Rubén (271218)


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