Copy detection pattern-based document protection for variable media

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dc.contributor.authorHaas, Bertrand
dc.contributor.buuauthorDirik, Ahmet Emir
dc.contributor.departmentUludağ Üniversitesi/Mühendislik-Mimarlık Fakültesi/Elektronik Mühendisliği Bölümü.tr_TR
dc.contributor.orcid0000-0002-6200-1717tr_TR
dc.contributor.researcheridK-6977-2012tr_TR
dc.contributor.scopusid23033658100tr_TR
dc.date.accessioned2022-05-09T08:14:01Z
dc.date.available2022-05-09T08:14:01Z
dc.date.issued2012-11
dc.description.abstractA copy detection pattern (CDP) is a shape (typically a rectangle) filled with pixels of random grey levels and incorporated in a digital document to be printed as a unique physical document. It is a powerful tool to detect copies. Whenever a document is printed and scanned, the grey levels of the pixels intermix in a measurable way. When a document of unknown legitimacy containing a CDP is scanned, the CDP distortion is measured and matched against a pre-determined threshold. If this measure is higher than the threshold, an intermediary scan and re-print most likely occurred. For acceptable accuracy, the print quality needs to be reasonably good; therefore in CDP applications, the printer, the CDP media and the scanner must usually be of known type. However, some applications could greatly benefit from CDP features, but have little control over the media. In such applications, the variance of the measurements, owing to media quality variability, is simply too large for a reasonably conclusive detection, at least with current verification techniques. Thus, the authors propose a print-scan model and a smart attack based on the model that causes the CDP copy detection to be mostly ineffective. To handle such an attack scenario and allow a range of different media, new CDP detection metrics were proposed. Their efficacies were tested for different paper types and different attack scenarios. Experimental analysis shows that the proposed features can be used to significantly improve copy detection accuracy.en_US
dc.identifier.citationDirik, A. E. ve Haas, B. (2012). "Copy detection pattern-based document protection for variable media". IET Image Processing, 6(8), 1102-1113.en_US
dc.identifier.endpage1113tr_TR
dc.identifier.issn1751-9659
dc.identifier.issn1751-9667
dc.identifier.issue8tr_TR
dc.identifier.scopus2-s2.0-84880008188tr_TR
dc.identifier.startpage1102tr_TR
dc.identifier.urihttps://doi.org/10.1049/iet-ipr.2012.0297
dc.identifier.urihttps://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2012.0297
dc.identifier.urihttp://hdl.handle.net/11452/26313
dc.identifier.volume6tr_TR
dc.identifier.wos000318234300009tr_TR
dc.indexed.scopusScopusen_US
dc.indexed.wosSCIEen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.collaborationYurt dışıtr_TR
dc.relation.journalIET Image Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComputer scienceen_US
dc.subjectEngineeringen_US
dc.subjectImaging science & photographic technologyen_US
dc.subjectPrinten_US
dc.subjectWatermarkingen_US
dc.subjectModelen_US
dc.subjectPrinting pressesen_US
dc.subjectAttack scenariosen_US
dc.subjectDifferent attacksen_US
dc.subjectDigital Documentsen_US
dc.subjectDocument protectionen_US
dc.subjectExperimental analysisen_US
dc.subjectPhysical documentsen_US
dc.subjectPrint qualitiesen_US
dc.subjectVerification techniquesen_US
dc.subjectPixelsen_US
dc.subject.scopusImage Watermarking; Quaternions; Moment Invariantsen_US
dc.subject.wosComputer science, artificial intelligenceen_US
dc.subject.wosEngineering, electrical & electronicen_US
dc.subject.wosImaging science & photographic technologyen_US
dc.titleCopy detection pattern-based document protection for variable mediaen_US
dc.typeArticle
dc.wos.quartileQ3en_US

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