Copy-move Detection Algorithm Based on Local Derivative Patterns

Copy-move forgery is one of most frequently used types of image forgery. During copy-move process a fragment of the image is copied and pasted to another location of the same image to hide some important area of the image. The purpose of copy-move forgery detection algorithm is to identify duplicated areas in the image. This method is based on the calculating features in a sliding or an overlapping window. In this paper, the copy-move detection algorithm using local derivative pattern is proposed. Experimental results show high detection accuracy when the proposed solution is used. Distinctive characteristics of the local derivative pattern based features are robustness to distortions of the duplicated area and low computational complexity.