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dc.contributor.authorKoç, Mehmet
dc.contributor.authorBarkana, Atalay
dc.date.accessioned2019-10-21T20:11:42Z
dc.date.available2019-10-21T20:11:42Z
dc.date.issued2014
dc.identifier.issn0045-7906
dc.identifier.issn1879-0755
dc.identifier.urihttps://dx.doi.org/10.1016/j.compeleceng.2014.07.003
dc.identifier.urihttps://hdl.handle.net/11421/20297
dc.descriptionWOS: 000348015800004en_US
dc.description.abstractA novel feature selection algorithm is proposed, which is related to the Discriminative Common Vector Approach (DCVA) utilized as a means to reduce the computational complexity of the facial recognition problem. The recognition performance of the selected features is tested with DCVA and well known subspace methods over AR and YALE face databases. Moreover, the scheme indicates that important facial parts like eyes, eyebrows, noses, and lips must be kept for recognition purposes while eliminating the pixels in cheek, chin, and forehead areas. This additional knowledge comes out in the form of T-shaped and elliptical face masks used to specify the region of interest (ROI). Hence, besides the excellent dimensionality reduction given by the use of the DCVA technique, there is an intelligent use of the original database that provides superior results even in the presence of an occlusion as it is the case when the facial images have scarvesen_US
dc.language.isoengen_US
dc.publisherPergamon-Elsevier Science LTDen_US
dc.relation.isversionof10.1016/j.compeleceng.2014.07.003en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleDiscriminative common vector approach based feature selection in face recognitionen_US
dc.typearticleen_US
dc.relation.journalComputers & Electrical Engineeringen_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume40en_US
dc.identifier.issue8en_US
dc.identifier.startpage37en_US
dc.identifier.endpage50en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorBarkana, Atalay


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