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dc.contributor.authorÇevik, Nazife
dc.date.accessioned2023-04-14T13:21:36Z
dc.date.available2023-04-14T13:21:36Z
dc.date.issued2019en_US
dc.identifier.citationÇEVİK, N. (2019). Face recognition by grey-level co-occurrence matrices in hexagonal digital image processing. Turkish Studies-Information Technologies and Applied Sciences, 14(2), 149-165.en_US
dc.identifier.issn2667-5633
dc.identifier.urihttps://doi.org/10.29228/TurkishStudies.22825
dc.identifier.urihttps://hdl.handle.net/20.500.12294/3754
dc.description.abstractFace Recognition has been an attractive field of research fordecades, because face is one of the most useful and deterministicbiometrics. Image processing is called square pixel-based imageprocessing since its existence. However, hexagonal image processing,which is based on the idea of designing and processing pixels ashexagons, has been shown to provide significant benefits in terms of timeand memory savings. Almost all of the face recognition methods proposedand implemented so far are based on square pixel based imageprocessing. Based on the limited number of studies on face recognitionin hexagonal pixel based image processing, a hexagonal image processingbased face recognition method is proposed in this study. The methodproposed in this study is inspired by Grey Level Co-occurrence Matrices(GLCM), which is one of the most fundamental of square pixel based facerecognition methods. The method is named Hex_Direct_GLCM because itis based on the square pixel-based basic GLCM method. Since hardwarebased hexagonal pixel-based image processing is not yet available,hexagonal pixel-based equivalents of square pixel-based digital imagesare artificially created by software. The hexagonal pixel base equivalentsof the steps followed in the GLCM method are performed, and then facerecognition accuracy performance analysis is performed on different datasets. As presented in the simulation results, the Hex_Direct_GLCMmethod provides competitive results with high accuracy in terms of facerecognition as well as the success in saving resources such as time andspace.en_US
dc.language.isoengen_US
dc.publisherASOS Eğitim Bilişim Danışmanlık Otomasyon Yayıncılık Reklam Sanayi ve Ticaret LTD ŞTİen_US
dc.relation.ispartofTurkish Studies - Information Technologies and Applied Sciencesen_US
dc.identifier.doi10.29228/TurkishStudies.22825en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFace Recognitionen_US
dc.subjectGray-Level Co-occurrence Matricesen_US
dc.subjectHexagonal Image Processingen_US
dc.titleFACE RECOGNITION BY GREY-LEVEL CO-OCCURRENCE MATRICES IN HEXAGONAL DIGITAL IMAGE PROCESSINGen_US
dc.typearticleen_US
dc.departmentMühendislik ve Mimarlık Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.volume14en_US
dc.identifier.issue2en_US
dc.identifier.startpage149en_US
dc.identifier.endpage165en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.institutionauthorÇevik, Nazife


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