Passive Image Forensic Method to detect Copy Move Forgery in Digital Images

Abstract

Tampering in digital images has become very easy due to the availability of advanced image editing softwares to the users. Images are being tampered in a very efficient manner without leaving any visual clue. As a consequence, the content of digital images cannot be taken as for granted. There are various types of image tampering techniques. One of the most common tampering techniques is copy-move forgery. In copy-move forgery one part of an image is copied and pasted in another part of the same image. In this paper, the passive image forensic method is presented to detect copy move forgery in digital images. The proposed method is based on SURF (Speed Up Robust Features) algorithm. In this method the features are extracted and their descriptors are obtained by SURF algorithm and the Nearest Neighbor approach is used for feature matching to identify the copy move forgery in digital images. This detection method is found to be rotation and scale invariant and is robust enough to noise, jpeg compression and blurring. Multiple copy move forgery is also detected by this method.