LBP-SVD Based Copy Move Forgery Detection Algorithm

With the extensive use of sophisticated image editing software, it has become easy to manipulate digital images without any visually visible clue. Copy-move is a special type of image forgery performed by copying a part of the image and pasting anywhere else in the same image. We proposed a passive image authentication technique to determine the copy-move forgery. First, the method divides the image into overlapping blocks. It use LBP (Local Binary Pattern) to label each block. Then, the biggest N of SVD values are extracted on the labeled blocks. N SVD values plus average Y, Cb, Cr values constitutes the feature vector for the block. Finally, the feature vectors are lexicographically sorted and element-by-element similarity measurement is used to determine the forged blocks. Experiment results demonstrate commendable performance in image copy-move forgery detection.