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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/69756
DC FieldValueLanguage
dc.contributor.authorBatista-Plaza, Daviden_US
dc.contributor.authorTravieso, Carlos M.en_US
dc.contributor.authorDutta, Malay Kishoreen_US
dc.contributor.authorSingh, Anushikhaen_US
dc.date.accessioned2020-02-05T12:49:51Z-
dc.date.accessioned2020-06-04T09:25:35Z-
dc.date.available2020-02-05T12:49:51Z-
dc.date.available2020-06-04T09:25:35Z-
dc.date.issued2018en_US
dc.identifier.isbn9781538630778en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/69756-
dc.description.abstractThis work presents a biometric approach for spider identification based on transform domain and Support Vector Machines as classifier. The dataset is composed by 185 images of spider web. The goal of this work is to use the structure of spider web for identifying the kind of spider. The experiments were done using two different of segmentation blocks and the analysis of the whole and center of the spider web. The best accuracy is reached after to run the different combinations.en_US
dc.languageengen_US
dc.relation.ispartof2017 10Th International Conference On Contemporary Computing, Ic3 2017en_US
dc.source2017 10th International Conference on Contemporary Computing, IC3 2017,v. 2018-January, p. 1-6en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject.otherClassification Systemen_US
dc.subject.otherImage Processingen_US
dc.subject.otherImage Segmentationen_US
dc.subject.otherPattern Recognitionen_US
dc.titleBiometric analysis for the recognition of spider species according to their websen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference10th International Conference on Contemporary Computing, IC3 2017en_US
dc.identifier.doi10.1109/IC3.2017.8284286en_US
dc.identifier.scopus85046352607-
dc.contributor.authorscopusid57201879658-
dc.contributor.authorscopusid57196462914-
dc.contributor.authorscopusid35291803600-
dc.contributor.authorscopusid55885045200-
dc.description.lastpage6en_US
dc.description.firstpage1en_US
dc.relation.volume2018-Januaryen_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.utils.revisionSíen_US
dc.date.coverdateFebrero 2018en_US
dc.identifier.conferenceidevents121085-
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate10-08-2017-
crisitem.event.eventsenddate12-08-2017-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
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