Implementation and Evaluation of Face Recognition Based Identification System

dc.contributor.authorElbizim, Faruk Can
dc.contributor.authorKasapbaşı, Mustafa Cem
dc.date.accessioned2020-11-21T15:55:57Z
dc.date.available2020-11-21T15:55:57Z
dc.date.issued2017en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description.abstractFace recognition has been widely used and implemented to many systems for the purpose of authentication, identification, findingfaces, etc. In this study Yale face database [1] is used which consist of 15 different people. For each of person there are 11 different imageswith different face expressions. In this study images are categorized as normal, normal and centre light, normal and happy, normal withleft light and right light. In order to recognize these faces 4 different face recognition methods namely Eigenface, Fisherface, LBPHfaceand SURF are utilized in the developed environment. In order to test the mentioned face recognition algorithms a software is developedusing EmguCV in .NET environment. After evaluating and comparing the obtained confusion matrix amongst other the LBPHface methodwas found to be superior method with an average accuracy of 99%, it was 98% SURF, 97% for EigenFace and FisherFace. FicherFacewas slightly better then the Eigenface method.en_US
dc.identifier.endpage20en_US
dc.identifier.issn2147-6799
dc.identifier.issn2147-6799
dc.identifier.issueSpecial Issueen_US
dc.identifier.startpage17en_US
dc.identifier.trdizinid307887en_US
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TXpBM09EZzNOdz09
dc.identifier.urihttps://hdl.handle.net/11467/4073
dc.identifier.volume5en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Intelligent Systems and Applications in Engineeringen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBilgisayar Bilimlerien_US
dc.subjectYapay Zekaen_US
dc.titleImplementation and Evaluation of Face Recognition Based Identification Systemen_US
dc.typeArticleen_US

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