Classification of face images using discrete cosine transform

Basit Öğe Kaydı
dc.contributor.authorKarhan, Zehra
dc.contributor.authorErgen, Burhan
dc.date.accessioned2026-08-12T16:08:25Z
dc.date.issued2013
dc.departmentFırat Üniversitesi
dc.description2013 21st Signal Processing and Communications Applications Conference, SIU 2013 -- 24 April 2013 through 26 April 2013 -- Haspolat -- 98109
dc.description.abstractIn this study, it is aimed to determine whether a given image belongs to fort hat person. For feature extraction ,which is an important part of pattern recognition, feature vector is obtained by using discrete cosine transform after performing preprocess the images on the current face. Based on the of datas obtained from conversion are classified by using 5%, 8%, 10%, and 15%. The nearest neighbor algorithm (KNN) is used in classification process.Face images consist of images that, taken from ORL database, belongs to 40 individuals, each has 10 different images. As a result, high success were obtained by using the few data. © 2013 IEEE.
dc.identifier.doi10.1109/SIU.2013.6531364
dc.identifier.isbn978-146735562-9
dc.identifier.scopus2-s2.0-84880904854
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU.2013.6531364
dc.identifier.urihttps://hdl.handle.net/11508/41217
dc.indekslendigikaynakScopus
dc.language.isotr
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference, SIU 2013
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.subjectDiscrete cosinüs transform; K NN classifier; Pattern recognition
dc.titleClassification of face images using discrete cosine transform
dc.title.alternativeYüz imgelerinin ayrik kosinüs dönüsümü yardimiyla siniflandirilmas
dc.typeConference Object

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu