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dc.contributor.authorVal Puente, Lara del 
dc.contributor.authorIzquierdo Fuente, Alberto 
dc.contributor.authorVillacorta Calvo, Juan José 
dc.contributor.authorRaboso, Mariano
dc.date.accessioned2024-04-18T12:46:15Z
dc.date.available2024-04-18T12:46:15Z
dc.date.issued2015
dc.identifier.citationDel Val, L.; Izquierdo-Fuente, A.; Villacorta, J.J.; Raboso, M. Acoustic Biometric System Based on Preprocessing Techniques and Linear Support Vector Machines. Sensors 2015, 15, 14241-14260. https://doi.org/10.3390/s150614241es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/67215
dc.description.abstractDrawing on the results of an acoustic biometric system based on a MSE classifier, a new biometric system has been implemented. This new system preprocesses acoustic images, extracts several parameters and finally classifies them, based on Support Vector Machine (SVM). The preprocessing techniques used are spatial filtering, segmentation—based on a Gaussian Mixture Model (GMM) to separate the person from the background, masking—to reduce the dimensions of images—and binarization—to reduce the size of each image. An analysis of classification error and a study of the sensitivity of the error versus the computational burden of each implemented algorithm are presented. This allows the selection of the most relevant algorithms, according to the benefits required by the system. A significant improvement of the biometric system has been achieved by reducing the classification error, the computational burden and the storage requirementses
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/*
dc.subject.classificationacoustic biometric system; acoustic images; preprocessing techniques; support vector machinees
dc.titleAcoustic Biometric System Based on Preprocessing Techniques and Linear Support Vector Machineses
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.3390/s150614241es
dc.identifier.publicationfirstpage14241es
dc.identifier.publicationissue6es
dc.identifier.publicationlastpage14260es
dc.identifier.publicationtitleSensorses
dc.identifier.publicationvolume15es
dc.peerreviewedSIes
dc.identifier.essn1424-8220es
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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