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Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46950
Campo DC Valoridioma
dc.contributor.authorDas, Abhijiten_US
dc.contributor.authorPal, Umapadaen_US
dc.contributor.authorBallester, Miguel Angel Ferreren_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.date.accessioned2018-11-23T09:39:34Z-
dc.date.available2018-11-23T09:39:34Z-
dc.date.issued2014en_US
dc.identifier.isbn9781479920723en_US
dc.identifier.issn1544-5615en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/46950-
dc.description.abstractIn this paper a selera recognition and validation system is proposed. Here selera segmentation was performed by Fuzzy logic-based clustering. Since the selera vessels are not prominent, image enhancement was required. A Fuzzy logic-based Brightness Preserving Dynamic Fuzzy Histogram Equalization and discrete Meyer wavelet was used to enhance the vessel patterns. For feature extraction, the Dense Local Binary Pattern (D-LBP) was used. D-LBP patch descriptors of each training image are used to form a bag of features, which is used to produce the training model. Support Vector Machines (SVMs) are used for classification. The UBIRIS version 1 dataset is used here for experimentation. An encouraging Equal Error Rate (EER) of 4.31% was achieved in our experiments.-
dc.languageengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofIEEE International Fuzzy Systems conference proceedingsen_US
dc.source2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) [ISSN 1544-5615], p. 561-568en_US
dc.subject3307 Tecnología electrónica-
dc.subject.otherIris recognition-
dc.subject.otherImage segmentation-
dc.subject.otherFeature extraction-
dc.subject.otherbiometrics (access control)-
dc.subject.otherfuzzy logic-
dc.subject.othersupport vector machines-
dc.subject.otherimage classification-
dc.titleFuzzy logic based selera recognitionen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceIEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014)en_US
dc.identifier.doi10.1109/FUZZ-IEEE.2014.6891684en_US
dc.identifier.scopus84912533480-
dc.identifier.isi000350793500081-
dc.contributor.authorscopusid57214490551-
dc.contributor.authorscopusid7403596707-
dc.contributor.authorscopusid57200742116-
dc.contributor.authorscopusid56126176900-
dc.contributor.authorscopusid56243577200-
dc.description.lastpage568en_US
dc.identifier.issue6891684-
dc.description.firstpage561en_US
dc.investigacionIngeniería y Arquitectura-
dc.type2Actas de congresosen_US
dc.contributor.daisngid3164655-
dc.contributor.daisngid25227-
dc.contributor.daisngid4492603-
dc.contributor.daisngid110880-
dc.description.numberofpages8en_US
dc.identifier.eisbn978-1-4799-2072-3-
dc.utils.revisionSí-
dc.contributor.wosstandardWOS:Das, A-
dc.contributor.wosstandardWOS:Pal, U-
dc.contributor.wosstandardWOS:Ballester, MAF-
dc.contributor.wosstandardWOS:Blumenstein, M-
dc.date.coverdateEnero 2014en_US
dc.identifier.conferenceidevents120902-
dc.identifier.ulpgcSí-
dc.description.ggs3
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.event.eventsstartdate06-07-2014-
crisitem.event.eventsenddate11-07-2014-
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.orcid0000-0002-2924-1225-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
Colección:Actas de congresos
miniatura
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