Abstract: Copy-move is a common digital image forgery in the research field of image blind authentication.A Gaussian geometric moment based algorithm for detecting and locating the copy-move forgery region in one image is proposed in this paper.In the algorithm,the eigenvectors of image are produced by extracting the Gaussian geometric moment features of every image block.Then the eigenvectors of image are sorted by dictionary ordering.The similarity between the image blocks is computed by Euclidean distance for detecting and locating the forged image region.The experimental results indicate that the method can effectively detect and locate the tampered image region.Compared with the invariant moments,the algorithm has the stronger noise resistance and can successfully detect the tampered image with noise by good robustness.