Image Forgery Detection Based On Parallel Convolutional Neural Networks

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dc.contributor.authorKorkmaz, Ahmet
dc.contributor.authorHanilci, Cemal
dc.date.accessioned2026-02-12T21:04:55Z
dc.date.available2026-02-12T21:04:55Z
dc.date.issued2022
dc.departmentBursa Teknik Üniversitesi
dc.description30th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2022 -- Safranbolu, TURKEY
dc.description.abstractAs a result of the advancement of software tools used in digital image processing, it has become very easy to generate fake images by applying various manipulations techniques on the original (authentic) images. These manipulated images can easily be used with malicious intentions in important fields such as law, medicine and communication. Hence, image forgery detection, determining whether an image is original or forged, is an important task. In this study, an image forgery detection system is proposed by combining three deep neural network structures in parallel, unlike the uniform deep learning methods used in image forgery detection. The proposed method has been evaluated on three different datasets, and the results clearly demonstrate the efficiency of the proposed method with promising classification accuracy.
dc.description.sponsorshipIEEE,IEEE Turkey Sect,Bahcesehir Univ
dc.identifier.doi10.1109/SIU55565.2022.9864874
dc.identifier.isbn978-1-6654-5092-8
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85138698376
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU55565.2022.9864874
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6727
dc.identifier.wosWOS:001307163400213
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIeee
dc.relation.ispartof2022 30Th Signal Processing and Communications Applications Conference, Siu
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260212
dc.subjectimage forensics
dc.subjectimage forgery detection
dc.subjectdeep learning
dc.subjectconvolutional neural network
dc.titleImage Forgery Detection Based On Parallel Convolutional Neural Networks
dc.typeConference Object

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