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dc.contributor.authorSertbas, Ahmet
dc.contributor.authorGumus, Ergun
dc.contributor.authorKilic, Niyazi
dc.contributor.authorUcan, Osman N.
dc.date.accessioned2021-03-03T13:40:36Z
dc.date.available2021-03-03T13:40:36Z
dc.date.issued2010
dc.identifier.citationGumus E., Kilic N., Sertbas A., Ucan O. N. , "Evaluation of face recognition techniques using PCA, wavelets and SVM", EXPERT SYSTEMS WITH APPLICATIONS, cilt.37, sa.9, ss.6404-6408, 2010
dc.identifier.issn0957-4174
dc.identifier.otherav_355c5285-6c78-43a2-b177-8a44ceddb8d5
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/40067
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2010.02.079
dc.description.abstractIn this study, we present an evaluation of using various methods for face recognition. As feature extracting techniques we benefit from wavelet decomposition and Eigenfaces method which is based on Principal Component Analysis (PCA). After generating feature vectors, distance classifier and Support Vector Machines (SVMs) are used for classification step. We examined the classification accuracy according to increasing dimension of training set, chosen feature extractor-classifier pairs and chosen kernel function for SVM classifier. As test set we used ORL face database which is known as a standard face database for face recognition applications including 400 images of 40 people. At the end of the overall separation task, we obtained the classification accuracy 98.1% with Wavelet-SVM approach for 240 image training set. (C) 2010 Elsevier Ltd. All rights reserved.
dc.language.isoeng
dc.subjectSosyal ve Beşeri Bilimler
dc.subjectEkonometri
dc.subjectYöneylem
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectSinyal İşleme
dc.subjectBilgisayar Bilimleri
dc.subjectAlgoritmalar
dc.subjectMühendislik ve Teknoloji
dc.subjectEkonomi ve İş
dc.subjectSosyal Bilimler (SOC)
dc.subjectOPERASYON ARAŞTIRMA VE YÖNETİM BİLİMİ
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.titleEvaluation of face recognition techniques using PCA, wavelets and SVM
dc.typeMakale
dc.relation.journalEXPERT SYSTEMS WITH APPLICATIONS
dc.contributor.departmentİstanbul Üniversitesi , ,
dc.identifier.volume37
dc.identifier.issue9
dc.identifier.startpage6404
dc.identifier.endpage6408
dc.contributor.firstauthorID49676


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