A Novel Image Authentication Robust to Geometric Transformations
Hanling Zhang, Sheng Wei Huang · 2008
Robustness against geometric distortion is one of the most important problems in image authentication. In this paper, an image watermarking algorithm robust to geometric transformations is proposed. Radon transformation is used to detect and invert geometric transformations, and a perceptual hash feature detector is proposed to extract significant feature points, finally compares features from two images by developing a modified Hausdorff distance measure. The experimental results show that the algorithm is robust to image processing, such as JPEG compression, common signal processing operations, global as well as geometric transformations, and it is also sensitive to content changing manipulations of image dat