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A comparative analysis of image copy-move forgery detection algorithms based on hand and machine-crafted features

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dc.citedby6
dc.contributor.authorAhmed I.T.en_US
dc.contributor.authorHammad B.T.en_US
dc.contributor.authorJamil N.en_US
dc.contributor.authorid57193324906en_US
dc.contributor.authorid57193327622en_US
dc.contributor.authorid36682671900en_US
dc.date.accessioned2023-05-29T09:07:54Z
dc.date.available2023-05-29T09:07:54Z
dc.date.issued2021
dc.description.abstractDigital image forgery (DIF) is the act of deliberate alteration of an image to change the details transmitted by it. The manipulation may either add, delete or alter any of the image features or contents, without leaving any hint of the change induced. In general, copy-move forgery, also referred to as replication, is the most common of the various kinds of passive image forgery techniques. In the copy-move forgery, the basic process is copy/paste from one area to another in the same image. Over the past few decades various image copy-move forgery detection (IC-MFDs) surveys have been existed. However, these surveys are not covered for both IC-MFD algorithms based hand-crafted features and IC-MFDs algorithms based machine-crafted features. Therefore, The paper presented a comparative analysis of IC-MFDs by collect various types of IC-MFDs and group them rely on their features used. Two groups, i.e. IC-MFDs based hand-crafted features and IC-MFDs based machine-crafted features. IC-MFD algorithms based hand-crafted features are the algorithms that detect the faked image depending on manual feature extraction while IC-MFD algorithms based machine-crafted features are the algorithms that detect the faked image automatically from image. Our hope that this presented analysis will to keep up-to-date the researchers in the field of IC-MFD. � 2021 Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/IJEECS.V22.I2.PP1177-1190
dc.identifier.epage1190
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85112727505
dc.identifier.spage1177
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85112727505&doi=10.11591%2fIJEECS.V22.I2.PP1177-1190&partnerID=40&md5=41bc453db8946b6d5a7aadad4425d66d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26219
dc.identifier.volume22
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleA comparative analysis of image copy-move forgery detection algorithms based on hand and machine-crafted featuresen_US
dc.typeArticleen_US
dspace.entity.typePublication
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