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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Acknowledgments
The authors would like to acknowledge the financial assistance provided by Ministry of Education Malaysia through FRGS grant number 203/PELECT/6071305.
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Al-Qershi, O.M., Khoo, B.E. (2017). Comparison of Matching Methods for Copy-Move Image Forgery Detection. In: Ibrahim, H., Iqbal, S., Teoh, S., Mustaffa, M. (eds) 9th International Conference on Robotic, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 398. Springer, Singapore. https://doi.org/10.1007/978-981-10-1721-6_23
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DOI: https://doi.org/10.1007/978-981-10-1721-6_23
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