Performance Evaluation for Face Recognition Using Wavelet-based Image De-noising

dc.contributor.authorAtamuradov, Vepa
dc.contributor.authorEleyan, Alaa
dc.contributor.authorKarlik, Bekir
dc.date.accessioned2020-03-26T18:42:49Z
dc.date.available2020-03-26T18:42:49Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.descriptionInternational Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE) -- MAY 09-11, 2013 -- Mevlana Univ, Konya, TURKEYen_US
dc.description.abstractIn this research we scrutinize the face recognition system performance when the test images are imposed to different levels of noise. We tried to imitate the real world scenarios when the face images are captured from video cameras or scanners and suffer some noise. To investigate the performance of proposed system, we simulate this scenario by adding A WGN (additive white Gaussian noise) to the test images in the face database. For image de-noising, we used two different algorithms namely; Discrete Wavelets Transform (DWT) and Dual-Tree Complex Wavelets Transform (DTCWT). The de-noised images are then fed to a PCA-based face recognition system for better recognition performance.en_US
dc.identifier.endpage287en_US
dc.identifier.isbn978-1-4673-5613-8; 978-1-4673-5612-1
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage284en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29715
dc.identifier.wosWOS:000325948700054en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2013 INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ADVANCES IN ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING (TAEECE)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectimage de-noisingen_US
dc.subjectwavelet transformen_US
dc.subjectface recognitionen_US
dc.subjectprincipal component analysisen_US
dc.titlePerformance Evaluation for Face Recognition Using Wavelet-based Image De-noisingen_US
dc.typeConference Objecten_US

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