Copy move forgery is a common way of digital image tampering, which has become an important research direction in the field of multimedia forensics in recent years. We propose a robust copy-move forgery detection algorithm. We construct wave function to extract keypoint evenly in the image, which can extract enough keypoint even in small or smooth areas. We introduce DBQ-LSH for feature matching, which greatly reduces time consumption. We propose a novel approach which use invariant moment LBP image to locate forged areas, even if the image is seriously attacked, the algorithm detection accuracy is still excellent. A large number of experimental results verify the reliability of proposed algorithm, in terms of validity and accuracy.