Towards human-assisted signature recognition: improving biometric systems through attribute-based recognition

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dc.contributor.author Morocho, Derlin
dc.contributor.author Morales Moreno, Aythami
dc.contributor.author Fiérrez, Julián
dc.contributor.author Vera-Rodríguez, Rubén
dc.contributor.other UAM. Departamento de Tecnología Electrónica y de las Comunicaciones es_ES
dc.date.accessioned 2016-12-07T18:53:18Z
dc.date.available 2016-12-07T18:53:18Z
dc.date.issued 2016-02
dc.identifier.citation 2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA). IEEE, 2016. 7477227 en_US
dc.identifier.isbn 978-1-4673-9728-5
dc.identifier.uri http://hdl.handle.net/10486/675870
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. D. Morocho, A. Morales, J. Fierrez and R. Vera-Rodriguez, "Towards human-assisted signature recognition: Improving biometric systems through attribute-based recognition," 2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), Sendai, 2016, pp. 1-6. doi: 10.1109/ISBA.2016.7477227 en_US
dc.description.abstract This work explores human-assisted schemes for improving automatic signature recognition systems. We present a crowdsourcing experiment to establish the human baseline performance for signature recognition tasks and a novel attribute-based semi-automatic signature verification system inspired in FDE analysis. We present different experiments over a public database and a self-developed tool for the manual annotation of signature attributes. The results demonstrate the benefits of attribute-based recognition approaches and encourage to further research in the capabilities of human intervention to improve the performance of automatic signature recognition systems. en_US
dc.description.sponsorship A.M. is supported by a JdC contract by the Spanish MECD (JCI-2012-12357). This work has been partially supported by projects: Bio-Shield (TEC2012-34881) from Spanish MINECO, BEAT (FP7-SEC-284989) from EU. 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.rights © 2016 IEEE en_US
dc.subject.other Manuals en_US
dc.subject.other Databases en_US
dc.subject.other Forgery en_US
dc.subject.other Biometrics (access control) en_US
dc.subject.other Crowdsourcing en_US
dc.subject.other Training en_US
dc.title Towards human-assisted signature recognition: improving biometric systems through attribute-based recognition en_US
dc.type conferenceObject en
dc.subject.eciencia Telecomunicaciones es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/ISBA.2016.7477227
dc.identifier.doi 10.1109/ISBA.2016.7477227
dc.identifier.publicationfirstpage 7477227
dc.relation.eventdate February 29 - March 2, 2016 en_US
dc.relation.eventnumber 2
dc.relation.eventplace Tohoku Univ, Sendai (Japan) en_US
dc.relation.eventtitle 2nd IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2016 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 Morales Moreno, Aythami (264948)


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