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dc.contributor.authorTurhal, U. C.
dc.contributor.authorGülmezoğlu, M. B.
dc.contributor.authorBarkana, Atalay
dc.date.accessioned2019-10-19T11:18:21Z
dc.date.available2019-10-19T11:18:21Z
dc.date.issued2005
dc.identifier.isbn1604238216 -- 9781604238211
dc.identifier.urihttps://hdl.handle.net/11421/12050
dc.descriptionEuropean Association for Signal Processing (EURASIP);KAREL;TUBITAK;NORTEL Networks - Business Without Boundaries;ARGELA Technologiesen_US
dc.description13th European Signal Processing Conference, EUSIPCO 2005 -- 4 September 2005 through 8 September 2005 -- Antalya -- 91025en_US
dc.description.abstractIn this paper, a new approach which is called the common matrix approach is proposed for face recognition. The common mat rix for each class can be calculated either using Gram-Schmidt orthogonalization method or using scatter matrix of each class. In both ways, orthonormal mat rices in the indi fference subspace represent the directions that contain impor tant discriminative information. The proposed approach overcomes the small sample size problem and the dimensionality problem in face recognition. The applications on AR-Face database give satisfactory results.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleFace recognition using common matrix approachen_US
dc.typeconferenceObjecten_US
dc.relation.journal13th European Signal Processing Conference, EUSIPCO 2005en_US
dc.contributor.departmentAnadolu Üniversitesi, Bozüyük Meslek Yüksekokuluen_US
dc.identifier.startpage369en_US
dc.identifier.endpage372en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorBarkana, Atalay


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