A comparative analysis on three duplication elements in copy-move forgery using patchmatch-based detection method

Nur Izzati, Nor Azaimi and Nor Bakiah, Abd Warif and Nor Syahidatul Nadiah, Ismail (2023) A comparative analysis on three duplication elements in copy-move forgery using patchmatch-based detection method. In: 8th International Conference on Software Engineering and Computer Systems, ICSECS 2023 , 25-27 August 2023 , Penang. pp. 357-362. (192961). ISBN 979-835031093-1

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DOI/Official URL: https://doi.org/10.1109/ICSECS58457.2023.10256380

Abstract

Image forgery is the alteration of a digital image to hide some of the important and useful information. Copy-move forgery (CMF) is one of the most difficult to detect because the copied part of the image has the same characteristics as the original image. Most of the existing datasets only highlight additional attacks in the copied part. Since there are no categories of duplication elements in the datasets, this research analyzed three categories of duplication elements in CMF which are animals, food and non-living things using DEFACTO and CoMo3Dataset. The analysis is performed on PatchMatch-based detection method and the results show that the method able to maintain at least 83% for all duplication elements in both DEFACTO and CoMo3Dataset. Furthermore, the method is able to detect a minimum 92% score for the food category in both datasets.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Copy-Move forgery; DEFACTO; Duplication regions; PatchMatch
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division:	Faculty of Computing
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	16 Apr 2024 04:12
Last Modified:	16 Apr 2024 04:12
URI:	http://umpir.ump.edu.my/id/eprint/40337
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