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2017 | OriginalPaper | Chapter

Comparison of Matching Methods for Copy-Move Image Forgery Detection

Authors : Osamah M. Al-Qershi, Bee Ee Khoo

Published in: 9th International Conference on Robotic, Vision, Signal Processing and Power Applications

Publisher: Springer Singapore

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Abstract

Copy-Move is one of the most common image forgery types, where a region of an image is copied and pasted into another location of the same image. Such a forgery is simple to achieve but hard to be detected as the pasted region shares the same characteristics with the image. Although plenty of algorithms have been proposed to tackle the copy-move detection problem, those algorithms differ in two things; matching method and type of features. In this paper, we focus on analyzing and comparing four matching methods in terms of accuracy and robustness against different image processing operations. Such analysis and comparison provide indispensable information for the design of new accurate and reliable copy-move detection techniques.

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Metadata
Title
Comparison of Matching Methods for Copy-Move Image Forgery Detection
Authors
Osamah M. Al-Qershi
Bee Ee Khoo
Copyright Year
2017
Publisher
Springer Singapore
Book
9th International Conference on Robotic, Vision, Signal Processing and Power Applications

Print ISBN: 978-981-10-1719-3

Electronic ISBN: 978-981-10-1721-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-1721-6_23