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Enhanced Block-Based Copy-Move Image Forgery Detection Using K-Means Clustering Technique

In this thesis, the effect of feature type and matching method has been analyzed by comparing different combinations of matching method – feature type for copy-move image forgery detection. The results showed an interaction between some of the features and some of the matching methods. Due to the im...

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Bibliographic Details
Main Author: Mohammed Abdo Al-Qershi, Osamah
Format: Thesis
Language:English
Published: 2018
Subjects:
T Technology
TK Electrical Engineering. Electronics. Nuclear Engineering
Online Access:http://eprints.usm.my/56080/1/Enhanced%20Block-Based%20Copy-Move%20Image%20Forgery%20Detection%20Using%20K-Means%20Clustering%20Technique_Osamah%20Mohammed%20Abdo%20Al-Qershi.pdf
http://eprints.usm.my/56080/
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http://eprints.usm.my/56080/1/Enhanced%20Block-Based%20Copy-Move%20Image%20Forgery%20Detection%20Using%20K-Means%20Clustering%20Technique_Osamah%20Mohammed%20Abdo%20Al-Qershi.pdf
http://eprints.usm.my/56080/

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