Robust Perceptual Image Hash Using Gabor Filters

In order to design the image hash from human being´s view, we capture the perceptual characters of the image using Gabor filter which can sense the directions in the image just like human´s primary visual cortex. For a given image, we compute the reference scale, direction and block to make sure the final hash can resist against RST (Rotation, Scale, Translation) attacks while maintain the sensitivity to local malicious manipulations. In addition, it has another promising ability to locate the tampered image blocks, approximately determined tamper methods (delete, add, modify) and the original direction of each block. The ability is very useful in forensics. The experimental results show that the strategy of the reference metrics works quite well and it is much more effective than the other state of art image hash method.