Detection algorithm for region duplication forgery based on SIFT
基于SIFT的区域复制窜改检测算法*

This paper presented a detection algorithm for a region duplication forgery which could detect the region by geometric transformation. The algorithm firstly extracted the image key points with SIFT algorithm, and then matched them with Euclidean distance. At last, the algorithm could determine whether the image had been tampered and detected the tampered region according to the feature that the feature point did not match one another in a natural image. The experiment verifies the algorithm can not only detect forged images altered by the shift transformation but only detect region by the rotation, scaling, and a combination of both the geometric transformation. The algorithm has been greatly improved compared to other regional replication of tampering methods.