To solve the problems of the zero-watermarking algorithms with weak against geometric attack, this paper proposed a zero-watermarking algorithm against geometric rotation attack. Firstly, the algorithm determined the near-destructive maximum inscribed square region with approximately pixels lossless in the center area, according to the pixel distortion of the image of the scale-invariant feature transform(SIFT) rotation correction. Then, the square region performed two-level redundant discrete wavelet transformation and extracted the low-frequency region. What's more, it extracted the largest singular value of each block to construct a transition matrix into block processing from the low-frequency area. Next, to obtain a characteristic matrix, it compared the value of each element in the transition matrix with its average value. Finally, it used the watermark image and the characteristic matrix to construct a zero watermark. The experimental results show that compared with the only rotation correction algorithm of SIFT, the robustness against rotation attack was up by an average of 13.26%. Compared with the rotation corrections algorithms of the GH rotation moment and pseudo-Zernike orthogonal moment, the anti-rotation attack robustness is up by 1.1% and 0.94% respectively. Also, it has a good effect on common conventional attacks, scaling attacks, cyclic translation and small-scale shear attacks.

[2019-09-05] Printed Article /doc/2018.04.0212/v2