Abstract
Copy detection resistance to geometric attacks is an important issue in the image copy detection community. Currently, most of the image copy detection methods can successfully resist the noise-like distortion and are quite fragile to geometric distortion. In this paper, the authors presented an image copy detection scheme by the use of two statistical features (the histogram shape and the mean) in low-frequency component of images after Gaussian filtering. Experimental results demonstrate that the proposed scheme can resist content-preserving geometric deformations and image processing attacks.
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