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dc.contributor.authorGonzález-Sosa, Ester
dc.contributor.authorVera Rodríguez, Rubén 
dc.contributor.authorFiérrez Aguilar, Julián 
dc.contributor.authorMoreno-Moreno, Miriam
dc.contributor.authorOrtega García, Javier 
dc.contributor.otherUAM. Departamento de Tecnología Electrónica y de las Comunicacioneses_ES
dc.date.accessioned2016-10-18T18:08:30Z
dc.date.available2016-10-18T18:08:30Z
dc.date.issued2015-12-04
dc.identifier.citationEurasip Journal on Image and Video Processing 2015.1 (2015): 30en_US
dc.identifier.issn1687-5281
dc.identifier.urihttp://hdl.handle.net/10486/674273
dc.descriptionThe electronic version of this article is the complete one and can be found online at: http://dx.doi.org/10.1186/s13640-015-0084-3en_US
dc.description.abstractThe use of millimetre wave images has been proposed recently in the biometric field to overcome certain limitations when using images acquired at visible frequencies. Furthermore, the security community has started using millimetre wave screening scanners in order to detect concealed objects. We believe we can exploit the use of these devices by incorporating biometric functionalities. This paper proposes a biometric recognition system based on the information of the silhouette of the human body, which may be seen as a type of soft biometric trait. To this aim, we report experimental results on the BIOGIGA database with four feature extraction approaches (contour coordinates, shape contexts, Fourier descriptors and landmarks) and three classification methods (Euclidean distance, dynamic time warping and support vector machines). The best configuration of 1.33 % EER is achieved when using contour coordinates with dynamic time warping.en_US
dc.description.sponsorshipThis work has been partially supported by projects TeraSense (CSD2008-00068), Bio-Shield (TEC2012-34881) and BEAT (FP7-SEC-284989) from EU. E. Gonzalez-Sosa is supported by a PhD scholarship from Universidad Autonoma de Madrid.en_US
dc.format.extent13 pag.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherSpringer International Publishingen_US
dc.relation.ispartofEurasip Journal on Image and Video Processingen_US
dc.rights© 2015 The Author(s)en_US
dc.subject.otherBody descriptorsen_US
dc.subject.otherComparisonen_US
dc.subject.otherDtwen_US
dc.subject.otherMillimetre-wavesen_US
dc.subject.otherScreening scannersen_US
dc.subject.otherSecurity applicationsen_US
dc.titleFeature exploration for biometric recognition using millimetre wave body imagesen_US
dc.typearticleen_US
dc.subject.ecienciaTelecomunicacioneses_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1186/s13640-015-0084-3
dc.identifier.doi10.1186/s13640-015-0084-3
dc.identifier.publicationfirstpage30
dc.identifier.publicationissue1
dc.identifier.publicationvolume2015
dc.relation.projectIDGobierno de España. TEC2012-34881es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/284989en
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.contributor.groupAnálisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002)es_ES
dc.rights.ccReconocimientoes_ES
dc.rights.accessRightsopenAccessen
dc.authorUAMFierrez Aguilar, Julián (261834)
dc.facultadUAMEscuela Politécnica Superior


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