| Citation: | Jie MA, Binbin ZHONG, Yanan JIAO. Copy-move Forgeries Detection Based on Polar Sine Transform[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1172-1178. doi: 10.11999/JEIT190481
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Polar Sine Transform (PST) is used to detect Copy-move forgeries in the paper, and the image to be detected is transformed into gray scale image and feature extraction is carried out by PST. Improved PatchMatch, a fast approximate nearest neighbor search algorithm, is used to match feature descriptors to overcome the problem of long time consuming caused by matching global descriptors. Experiments show that the proposed method is not only effective for linear Copy-move forgeries and rotation interference forgeries, but also robust to noise and JPEG compression interference forgeries. Finally, the experimental results of synthetic interference forgeries show that the accuracy can reach 98.0% when the synthetic forgeries range is small.
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