Detection of Copy-Rotate-Move Forgery Using Zernike Moments

As forgeries have become popular, the importance of forgery detection is much increased. Copy-move forgery, one of the most commonly used methods, copies a part of the image and pastes it into another part of the the image. In this paper, we propose a detection method of copy-move forgery that localizes duplicated regions using Zernike moments. Since the magnitude of Zernike moments is algebraically invariant against rotation, the proposed method can detect a forged region even though it is rotated. Our scheme is also resilient to the intentional distortions such as additive white Gaussian noise, JPEG compression, and blurring. Experimental results demonstrate that the proposed scheme is appropriate to identify the forged region by copy-rotate-move forgery.

• Type: Journal
• Year: 2010
• Where: IH
• Authors: Seung-Jin Ryu, Min-Jeong Lee, Heung-Kyu Lee
• Keywords: Additive White Gaussian Noise, Forgery, Forgery Detection, IH 2010, Information Technology