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http://hdl.handle.net/20.500.12358/25150
TitleComparison between image forgery detection algorithms
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Abstract

Today, the manipulation on the digital images has become a very easy and professional process using the capabilities of photo editing tools with the wide and rapid development in information technology and computer industry. Image forgery can be used to hide or manipulate important information of official documents, which can be considered as a digital crime. Many algorithms can be used to detect forged images. This paper introduces a theatrical comparison between four of the recent forgery detection algorithms; SVM, DCT, Expanding Block-based algorithm and Generic Algorithm with the aim to come up with the most efficient algorithm among the four algorithms. This was achieved by reviewing literatures of recent and relevant works whereas we focused on the accuracy. The comparison shows that GA is the most effective algorithm for detecting the image forgery, which gives the highest accuracy while DCT …

Authors
Nazli, Mohammed N
Maghari, Ashraf Y. A.
TypeJournal Article
Date2017
Published inInformation Technology (ICIT), 2017 8th International Conference on
PublisherIEEE
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  • Staff Publications- Faculty of Information Technology [192]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback