Alamro, Loai and Yusoff, Nooraini (2016) Copy-move forgery detection in digital image. AIP Conference Proceedings, 1761. 020015. ISSN 0094-243X

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Abstract

Copy-move is considered as one of the most popular kind of digital image tempering, in which one or more parts of a digital image are copied and pasted into different locations.Geometric transformation is among the major challenges in detecting copy-move forgery of a digital image.In such forgery, the copied and moved parts of a forged image are either rotated or/and re-scaled.Hence, in this study we propose a combination of Discrete Wavelet Transform (DWT) and Speeded Up Robust Features (SURF) to detect a copy-move activity.The experiments results prove that the proposed method is superior with overall accuracy 95%. The copy-move attacks in digital image has been successfully detected and the method is also can detect the fraud parts exposed to rotation and scaling issue.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	15 Feb 2018 01:27
Last Modified:	15 Feb 2018 01:27
URI:	https://repo.uum.edu.my/id/eprint/23347

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