A New Face Recognition System based on Color Histogram Matching

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dc.contributor.authorDemirel, Hasan
dc.contributor.authorAnbarjafari, Gholamreza
dc.date.accessioned2026-02-06T18:28:46Z
dc.date.issued2008
dc.departmentDoğu Akdeniz Üniversitesi
dc.descriptionIEEE 16th Signal Processing and Communications Applications Conference -- APR 20-22, 2008 -- Aydin, TURKEY
dc.description.abstractIn this paper a new face recognition system based on the color histogram matching is proposed. The system uses color histograms of the extracted face regions as the feature vectors for recognition. The recognition is performed by identifying the subject that maximizes the cross correlation of the histogram of the given image and the histograms of the face subjects in the database. Majority voting among the decisions of the histogram based face recognition classifiers in different color channels have been combined to perform increased recognition rates. The proposed system reaches to 99.52% recognition rate on the Essex University Database of 150 face subjects with varying illumination, background and pose.
dc.description.sponsorshipIEEE
dc.identifier.endpage612
dc.identifier.isbn978-1-4244-1998-2
dc.identifier.orcid0000-0001-8460-5717
dc.identifier.scopus2-s2.0-56449087030
dc.identifier.scopusqualityN/A
dc.identifier.startpage609
dc.identifier.urihttps://hdl.handle.net/11129/11101
dc.identifier.wosWOS:000261359200151
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2008 Ieee 16Th Signal Processing, Communication and Applications Conference, Vols 1 and 2
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.titleA New Face Recognition System based on Color Histogram Matching
dc.typeConference Object

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