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Source cell-phone identification

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dc.contributor.authorÇeliktutan, Oya
dc.contributor.authorŞankur, Bülent
dc.contributor.authorAyerden, N. Pola
dc.contributor.authorÇapar, Çağatay
dc.contributor.buuauthorAvcıbaş, İsmail
dc.contributor.departmentMühendislik Mimarlık Fakültesi
dc.contributor.departmentElektronik Mühendisliği Bölümü
dc.contributor.researcheridH-9089-2018
dc.contributor.scopusid6602339258
dc.date.accessioned2022-01-31T13:01:34Z
dc.date.available2022-01-31T13:01:34Z
dc.date.issued2006
dc.descriptionBu çalışma, 16-19 Nisan 2006 tarihleri arasında Antalya[Türkiye]'de düzenlenen 14. Signal Processing and Communications Applications'da bildiri olarak sunulmuştur.
dc.description.abstractIn this paper, we focus on blind source cell-phone identification problem. The main idea is that proprietary interpolation algorithm (involved due to the structure of color filter array [CFA]) leaves footprints in the form of correlations across adjacent bit planes of images. For this purpose, we explore a set of binary similarity measures, image quality measures and higher order wavelet statistics in conjunction with KNN and SVM classifiers to identify the originating cell-phone. We provide identification results among 9 different brand cell-phone cameras.
dc.description.sponsorshipIEEE
dc.identifier.citationÇeliktutan, O. vd. (2006). ''Source cell-phone identification''. 2006 IEEE 14. Signal Processing and Communications Applications Conference.
dc.identifier.doi10.1109/SIU.2006.1659882
dc.identifier.isbn978-1-4244-0238-0
dc.identifier.scopus2-s2.0-34247106193
dc.identifier.urihttps://doi.org/10.1109/SIU.2006.1659882
dc.identifier.urihttp://hdl.handle.net/11452/24324
dc.identifier.wos000245347800056
dc.indexed.wosCPCIS
dc.language.isoen
dc.publisherIEEE
dc.relation.collaborationYurt içi
dc.relation.journal2006 IEEE 14. Signal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEngineering
dc.subjectComputer science
dc.subjectImaging science & photographic technology
dc.subjectSupport vector machines
dc.subjectProblem solving
dc.subjectInterpolation
dc.subjectImage quality
dc.subjectCameras
dc.subjectBlind source separation
dc.subjectInterpolation algorithms
dc.subjectColor filter array
dc.subjectCell-phone cameras
dc.subjectMobile phones
dc.subject.scopusForgery; Tampering; Discrete Cosine Transforms
dc.subject.wosComputer science, artificial intelligence
dc.subject.wosEngineering, electrical & electronic
dc.subject.wosImaging science & photographic technology
dc.titleSource cell-phone identification
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentMühendislik Mimarlık Fakültesi/Elektronik Mühendisliği Bölümü
local.indexed.atScopus
local.indexed.atWOS

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