Variations of handwritten signatures with time: A sigma-lognormal analysis

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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.author Plamondon, Rejean
dc.contributor.other UAM. Departamento de Tecnología Electrónica y de las Comunicaciones es_ES
dc.date.accessioned 2015-03-23T18:56:42Z
dc.date.available 2015-03-23T18:56:42Z
dc.date.issued 2013
dc.identifier.citation 2013 International Conference on Biometrics (ICB). IEEE, 2013. 1-6 en_US
dc.identifier.isbn 978-1-4799-0310-8
dc.identifier.uri http://hdl.handle.net/10486/664767
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, J. Ortega-García, "Variations of handwritten signatures with time: A sigma-lognormal analysis" in 6th International Conference on Biometrics (ICB), Madrid (Spain), 2013, 1-6 en_US
dc.description.abstract The variation of dynamic signatures with time is analysed for the first time using the Kinematic Theory, following a general, consistent and fully reproducible protocol. Experiments are carried out on a new long-term database captured in 6 sessions uniformly distributed over a 15 month time span, under almost identical conditions. Signatures are represented with the Sigma Log-Normal model, which takes into account the effects of body ageing closely related to handwriting, such as neuromuscular response times. After studying the evolution of signatures with time, an analysis on age groups based on the model parameters is carried out. en_US
dc.description.sponsorship This work has been partially supported by projects Contexts (S2009/TIC-1485) from CAM, Bio-Challenge (TEC2009-11186) and Bio-Shield (TEC2012-34881) from Spanish MINECO, Guardia Civil, Cátedra UAM-Telefónica and grant RGPIN-915 from NSERC Canada. 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.rights © 2013 IEEE en_US
dc.subject.other Database management systems en_US
dc.subject.other Digital signatures en_US
dc.subject.other Log normal distribution en_US
dc.title Variations of handwritten signatures with time: A sigma-lognormal analysis en_US
dc.type conferenceObject en
dc.type bookPart en
dc.subject.eciencia Telecomunicaciones es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/ICB.2013.6612974
dc.identifier.doi 10.1109/ICB.2013.6612974
dc.identifier.publicationfirstpage 1
dc.identifier.publicationlastpage 6
dc.relation.eventdate June 4-7, 2013 en_US
dc.relation.eventnumber 6
dc.relation.eventplace Madrid (Spain) en_US
dc.relation.eventtitle 6th IAPR International Conference on Biometrics, ICB 2013 en_US
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1485/CONTEXTS es_ES
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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