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Wednesday, November 15 • 12:00 - 12:20
Copy-Move Forgery Detection based on Enhanced PatchMatch

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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.

Wednesday November 15, 2017 12:00 - 12:20
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

Attendees (1)