Tuesday 23rd of January 2018
 

Copy-Move Forgery Detection Based on Enhanced Patch-Match


Younis Abdalla, M. Tariq Iqbal and M. Shehata

Image forgery detection approaches are varied and serve same objectives. However, the difference in image properties causes some limitations of most of these approaches. Integrate multiple forensic approaches to increase the efficiency of detecting and localize the forgery was proposed based on the same image input source. In this paper, we propose a new detector algorithm based on different image source format. We propose approach to detect a copy-move forgery based on PatchMatch enhanced by the dense field technique. The F-measure score used same evaluation function to make the system more robust. The output result shows high efficiency of detecting and localizing the forgery in different image formats, for passive forgery detection.

Keywords: Copy-move detect; forgery localization; image forgery; score evaluation

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ABOUT THE AUTHORS

Younis Abdalla
PhD student. Memorial university of Newfoundland. Electrical Engineering and Applied Science Faculty.

M. Tariq Iqbal
Prof. Memorial university of Newfoundland. Electrical Engineering and Applied Science Faculty.

M. Shehata
Dr. Memorial university of Newfoundland. Electrical Engineering and Applied Science Faculty.


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