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

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 highligh...

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Main Authors: Nur Izzati, Nor Azaimi, Nor Bakiah, Abd Warif, Nor Syahidatul Nadiah, Ismail
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/40337/
http://umpir.ump.edu.my/id/eprint/40337/1/A%20comparative%20analysis%20on%20three%20duplication%20elements.pdf
http://umpir.ump.edu.my/id/eprint/40337/2/A%20comparative%20analysis%20on%20three%20duplication%20elements%20in%20copy-move%20forgery%20using%20patchmatch-based%20detection%20method_ABS.pdf
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author Nur Izzati, Nor Azaimi
Nor Bakiah, Abd Warif
Nor Syahidatul Nadiah, Ismail
author_facet Nur Izzati, Nor Azaimi
Nor Bakiah, Abd Warif
Nor Syahidatul Nadiah, Ismail
author_sort Nur Izzati, Nor Azaimi
building UMP Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T03:38:11Z
format Conference or Workshop Item
id ump-40337
institution Universiti Malaysia Pahang
institution_category Local University
language English
English
last_indexed 2025-11-15T03:38:11Z
publishDate 2023
publisher Institute of Electrical and Electronics Engineers Inc.
recordtype eprints
repository_type Digital Repository
spelling ump-403372024-04-16T04:12:05Z http://umpir.ump.edu.my/id/eprint/40337/ A comparative analysis on three duplication elements in copy-move forgery using patchmatch-based detection method Nur Izzati, Nor Azaimi Nor Bakiah, Abd Warif Nor Syahidatul Nadiah, Ismail QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) 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. Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40337/1/A%20comparative%20analysis%20on%20three%20duplication%20elements.pdf pdf en http://umpir.ump.edu.my/id/eprint/40337/2/A%20comparative%20analysis%20on%20three%20duplication%20elements%20in%20copy-move%20forgery%20using%20patchmatch-based%20detection%20method_ABS.pdf 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 (Published) https://doi.org/10.1109/ICSECS58457.2023.10256380
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Nur Izzati, Nor Azaimi
Nor Bakiah, Abd Warif
Nor Syahidatul Nadiah, Ismail
A comparative analysis on three duplication elements in copy-move forgery using patchmatch-based detection method
title A comparative analysis on three duplication elements in copy-move forgery using patchmatch-based detection method
title_full A comparative analysis on three duplication elements in copy-move forgery using patchmatch-based detection method
title_fullStr A comparative analysis on three duplication elements in copy-move forgery using patchmatch-based detection method
title_full_unstemmed A comparative analysis on three duplication elements in copy-move forgery using patchmatch-based detection method
title_short A comparative analysis on three duplication elements in copy-move forgery using patchmatch-based detection method
title_sort comparative analysis on three duplication elements in copy-move forgery using patchmatch-based detection method
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
url http://umpir.ump.edu.my/id/eprint/40337/
http://umpir.ump.edu.my/id/eprint/40337/
http://umpir.ump.edu.my/id/eprint/40337/1/A%20comparative%20analysis%20on%20three%20duplication%20elements.pdf
http://umpir.ump.edu.my/id/eprint/40337/2/A%20comparative%20analysis%20on%20three%20duplication%20elements%20in%20copy-move%20forgery%20using%20patchmatch-based%20detection%20method_ABS.pdf