A Detection Algorithm for Image Copy-move Forgery Based on Improved Circular Projection Matching and PCA

Because general algorithms seldom detect copy-move forgery with angle rotation and block matching algorithms are very time-consuming, this paper proposes a detection algorithm which is able to detect copy- move forgery with rotation of certain angles by using the direction invariance of the circular projection vector. At the same time, considering the influence of random noise and brightness changes on the circular projection vector, circular projection vector is improved and becomes robust. In order to avoid the time-consuming, this algorithm also constructs a data matrix by using the circular projection vector of each image block to significantly reduce the dimensionality of the data requiring during principal component analysis. Its detection speed is obviously faster than general block matching algorithms. The experimental results show that the improved circular projection matching algorithm is less time consuming, able to resist a certain degree of angle rotation in copy-move operations, and relatively robust to the influence of random noise and illumination. Copyright © 2013 IFSA.