dc.contributor.author | Sertbas, Ahmet | |
dc.contributor.author | Gumus, Ergun | |
dc.contributor.author | Kilic, Niyazi | |
dc.contributor.author | Ucan, Osman N. | |
dc.date.accessioned | 2021-03-03T13:40:36Z | |
dc.date.available | 2021-03-03T13:40:36Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Gumus 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.issn | 0957-4174 | |
dc.identifier.other | av_355c5285-6c78-43a2-b177-8a44ceddb8d5 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/40067 | |
dc.identifier.uri | https://doi.org/10.1016/j.eswa.2010.02.079 | |
dc.description.abstract | In 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.iso | eng | |
dc.subject | Sosyal ve Beşeri Bilimler | |
dc.subject | Ekonometri | |
dc.subject | Yöneylem | |
dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
dc.subject | Sinyal İşleme | |
dc.subject | Bilgisayar Bilimleri | |
dc.subject | Algoritmalar | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | Ekonomi ve İş | |
dc.subject | Sosyal Bilimler (SOC) | |
dc.subject | OPERASYON ARAŞTIRMA VE YÖNETİM BİLİMİ | |
dc.subject | Mühendislik | |
dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Bilgisayar Bilimi | |
dc.subject | BİLGİSAYAR BİLİMİ, YAPAY ZEKA | |
dc.title | Evaluation of face recognition techniques using PCA, wavelets and SVM | |
dc.type | Makale | |
dc.relation.journal | EXPERT SYSTEMS WITH APPLICATIONS | |
dc.contributor.department | İstanbul Üniversitesi , , | |
dc.identifier.volume | 37 | |
dc.identifier.issue | 9 | |
dc.identifier.startpage | 6404 | |
dc.identifier.endpage | 6408 | |
dc.contributor.firstauthorID | 49676 | |