Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46952
Campo DC Valoridioma
dc.contributor.authorDas, Abhijiten_US
dc.contributor.authorPal, Umapadaen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.authorBallester, Miguel Angel Ferreren_US
dc.date.accessioned2018-11-23T09:40:29Z-
dc.date.available2018-11-23T09:40:29Z-
dc.date.issued2013en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/46952-
dc.description.abstractThis paper presents a survey on sclera-based biometric recognition. Among the various biometric methods, sclera is one of the novel and promising biometric techniques. The sclera, a white region of connective tissue and blood vessels, surrounds the iris. A survey of the techniques available in the area of sclera biometrics will be of great assistance to researchers, and hence a comprehensive effort is made in this article to discuss the advancements reported in this regard during the past few decades. As a limited number of publications are found in the literature, an attempt is made in this paper to increase awareness of this area so that the topic gains popularity and interest among researchers. In this survey, a brief introduction is given initially about the sclera biometric, which is subsequently followed by background concepts, various pre-processing techniques, feature extraction and finally classification techniques associated with the sclera biometric. Benchmarking databases are very important for any pattern recognition related research, so the databases related with this work is also discussed. Finally, our observations, future scope and existing difficulties, which are unsolved in sclera biometrics, are discussed. We hope that this survey will serve to focus more researcher attention towards the emerging sclera biometric.en_US
dc.languageengen_US
dc.relation.ispartofProceedings - 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013en_US
dc.sourceProceedings - 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 (6778464), p. 917-921en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherIris Recognitionen_US
dc.subject.otherImagesen_US
dc.subject.otherTasomen_US
dc.subject.otherSclera Biometricen_US
dc.subject.otherSclera Recognitionen_US
dc.subject.otherSurveyen_US
dc.titleSclera Recognition - A Surveyen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013en_US
dc.identifier.doi10.1109/ACPR.2013.168en_US
dc.identifier.scopus84899071477-
dc.identifier.isi000339501000189-
dc.contributor.authorscopusid7403596707-
dc.contributor.authorscopusid57214490551-
dc.contributor.authorscopusid57200742116-
dc.contributor.authorscopusid56243577200-
dc.contributor.authorscopusid56126176900-
dc.description.lastpage921en_US
dc.identifier.issue6778464-
dc.description.firstpage917en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid3164655-
dc.contributor.daisngid25227-
dc.contributor.daisngid110880-
dc.contributor.daisngid4492603-
dc.description.numberofpages5en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Das, A-
dc.contributor.wosstandardWOS:Pal, U-
dc.contributor.wosstandardWOS:Blumenstein, M-
dc.contributor.wosstandardWOS:Ballester, MAF-
dc.date.coverdateEnero 2013en_US
dc.identifier.conferenceidevents120867-
dc.identifier.ulpgces
item.fulltextCon texto completo-
item.grantfulltextopen-
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-
crisitem.event.eventsstartdate05-11-2013-
crisitem.event.eventsenddate08-11-2013-
Colección:Actas de congresos
miniatura
Adobe PDF (378,68 kB)
Vista resumida

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.