Image Authentication using Radon Transform and Local Features

Here we have presented a new image hash technique based on radon transform and saliency detection technique using Markov absorption probability. Radon transform is widely used in medical image processing. It is robust against content preserving activities like blurring, compression, sharpening, and invariant characteristics regarding scaling and rotation. Markov absorption probability is used in salient area detection. We have consolidated the above methods to create a new image hash method that gives better results. This method was tested on large image pairs and is found to be robust for content preserving methods. Our proposed algorithm is also able to identify the forged area.