Most existing forgery detection algorithms have the weak robustness to post-processing operations of the copy-move forgery regions. For the detection of image regions forged by copy-move

we propose a detection algorithm based on radial harmonic Fourier moments in this paper. First

the detected image is divided into multiple overlapping blocks with the same size. Second

radial harmonic Fourier moments of each block are extracted as a feature vector and all extracted vectors are sorted. Last

the similar blocks are determined by a pre-established threshold

the error similar blocks are eli-minated by using a threshold of the displacement vector

and the tampered region is located. Experimental results show that the proposed algorithm deals well with various post-processing operations of image region copy-move forgery

including noise addition

blurring

rotation

translation and so on. In addition

our algorithm has a better detection rate than that of HU moment-based method.