An image copy detection scheme based on radon transform

Copy detection aims to identify various content-preserving copies from the same origin and distinguish the different sources. In this paper, we propose a novel feature for image copy detection based on the radon transform (RT). We first theoretically analyze that the proposed feature is invariant against rotation, scaling and translation (RST) operations and robust to lossy JPEG compression and additive noises. The feature can meet the robustness requirements of copy detection applications. The proposed feature is statistically dependent of image content and is capable of capturing unique information of the image for fragility of the copy detection system. The experimental results show that the proposed scheme outperforms the existing methods, when detecting image copies subjected to various transformations, in terms of receiver operating characteristic (ROC) curves.