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Reseach Article

Novel Method for Copy-Move Forgery Detection

by Sharanjit Kaur, Manpreet Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 18
Year of Publication: 2021
Authors: Sharanjit Kaur, Manpreet Kaur
10.5120/ijca2021921064

Sharanjit Kaur, Manpreet Kaur . Novel Method for Copy-Move Forgery Detection. International Journal of Computer Applications. 174, 18 ( Feb 2021), 10-14. DOI=10.5120/ijca2021921064

@article{ 10.5120/ijca2021921064,
author = { Sharanjit Kaur, Manpreet Kaur },
title = { Novel Method for Copy-Move Forgery Detection },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2021 },
volume = { 174 },
number = { 18 },
month = { Feb },
year = { 2021 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number18/31775-2021921064/ },
doi = { 10.5120/ijca2021921064 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:22:27.139714+05:30
%A Sharanjit Kaur
%A Manpreet Kaur
%T Novel Method for Copy-Move Forgery Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 18
%P 10-14
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A technique named forgery detection is used for detecting alterations from the image. This approach comprises several methods. This research study is depending on identifying theforgery in copy-move.The PCA algorithm will mark the principle component analysis for incompatible pixels from the picture. The GLCM algorithm is applied with the PCA algorithm in this research study for detecting forgery. The proposed algorithm is executed in MATLAB and outcomes are scrutinized on the basis of PSNR and MSE values. It is scrutinized that the proposed algorithm gives good performance in comparison with existing algorithm.

References
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Index Terms

Computer Science
Information Sciences

Keywords

PCA GLCM Copy-move forgery