Приказ основних података о документу

dc.creatorPopović, Brankica
dc.creatorBanđur, Miloš V.
dc.creatorRaičević, Anđelija M.
dc.creatorRanđelović, Dragan
dc.date.accessioned2019-03-21T16:02:20Z
dc.date.available2019-03-21T16:02:20Z
dc.date.issued2012
dc.identifier.urihttp://jakov.kpu.edu.rs/handle/123456789/499
dc.description.abstractOrientation field as a global feature of fingerprints is very important in automatic fingerprint identification systems (AFIS). In fact the overall performance of fingerprint recognition process largely depends on it's accurate estimation. The subject of this paper is to present different methods for fingerprint image orientation estimation, including novel one based on multiscale approach.en
dc.publisherIEEE, New York
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/34019/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/44007/RS//
dc.rightsrestrictedAccess
dc.source2012 20th telecommunications forum (TELFOR)
dc.subjectfingerprint imageen
dc.subjectorientation fielden
dc.subjectgradienten
dc.subjectPCAen
dc.subjectpyramid decompositionen
dc.titleDifferent methods for fingerprint image orientation estimationen
dc.typeconferenceObject
dc.rights.licenseARR
dcterms.abstractПоповић, Бранкица; Раичевић, Aнђелија М.; Банђур, Милош В.; Ранђеловић, Драган;
dc.citation.spage662
dc.citation.epage665
dc.citation.other: 662-665
dc.identifier.doi10.1109/TELFOR.2012.6419297
dc.identifier.scopus2-s2.0-84874174351
dc.identifier.wos000316626800160
dc.type.versionpublishedVersion


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