Generation of enhanced synthetic off-line signatures based on real on-line data

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dc.contributor.author Díaz-Cabrera, Moisés
dc.contributor.author Gómez-Barrero, Marta
dc.contributor.author Morales Moreno, Aythami
dc.contributor.author Ferrer, Miguel Ángel
dc.contributor.author Galbally Herrero, Javier
dc.contributor.other UAM. Departamento de Tecnología Electrónica y de las Comunicaciones es_ES
dc.date.accessioned 2015-02-16T19:21:55Z
dc.date.available 2015-02-16T19:21:55Z
dc.date.issued 2014-09
dc.identifier.citation 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR). IEEE, 2014. 482 - 487 en_US
dc.identifier.isbn 978-1-4799-4335-7
dc.identifier.issn 2167-6445
dc.identifier.uri http://hdl.handle.net/10486/663865
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. Díaz-Cabrera, M. Gómez-Barrero, A. Morales, M. A. Ferrer, J. Galbally, "Generation of Enhanced Synthetic Off-Line Signatures Based on Real On-Line Data" in 14th International Conference on Frontiers in Handwriting Recognition (ICFHR), Heraklion (Greece), 2014, 482 - 487 en_US
dc.description.abstract One of the main challenges of off-line signature verification is the absence of large databases. A possible alternative to overcome this problem is the generation of fully synthetic signature databases, not subject to legal or privacy concerns. In this paper we propose several approaches to the synthesis of off-line enhanced signatures from real dynamic information. These synthetic samples show a performance very similar to the one offered by real signatures, even increasing their discriminative power under the skilled forgeries scenario, one of the biggest challenges of handwriting recognition. Furthermore, the feasibility of synthetically increasing the enrolment sets is analysed, showing promising results. en_US
dc.description.sponsorship This work has been partially supported by projects: MICINN TEC2012-38630-C04-02, Contexts (S2009/TIC-1485) from CAM, Bio-Shield (TEC2012-34881) from Spanish MINECO, TABULA RASA (FP7-ICT-257289) and BEAT (FP7-SEC-284989) from EU, and Cátedra UAM-Telefónica. en_US
dc.format.extent 7 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 Frontiers in Handwriting Recognition (ICFHR) en_US
dc.rights © 2014 IEEE en_US
dc.subject.other Signature synthesis en_US
dc.subject.other Signature verification en_US
dc.subject.other Texture Measurement en_US
dc.subject.other Biometric recognition en_US
dc.title Generation of enhanced synthetic off-line signatures based on real on-line data en_US
dc.type conferenceObject en
dc.subject.eciencia Telecomunicaciones es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/ICFHR.2014.87
dc.identifier.doi 10.1109/ICFHR.2014.87
dc.identifier.publicationfirstpage 482
dc.identifier.publicationlastpage 487
dc.relation.eventdate September 1-4, 2014 en_US
dc.relation.eventnumber 14
dc.relation.eventplace Heraklion (Greece) en_US
dc.relation.eventtitle 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014 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 Galbally Herrero, Javier (261846)
dc.authorUAM Morales Moreno, Aythami (264948)


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