Fast and robust passive copy-move forgery detection using SURF and SIFT image features

Abstract

With the advent of sophisticated image editing softwares, it has become easy to forge digital images. Copy-move is a very common technique for image forgery; retouching tools are applied along with it which makes copy-move invisible to the naked eye. An image can be forged using copy-move technique to duplicate or hide undesirable objects. When some object is copy-moved with the help of geometrical and illumination transform, it becomes difficult to detect that object. Speed up Robust Feature (SURF) and Scale Invariant Feature Transform (SIFT) are invariant with respect to geometrical and illumination transform. In this paper we have proposed a novel method to detect copy-move forgery in an image based on passive forensic scheme. The proposed method use SURF and SIFT, which make it very fast and robust in detecting copy-moved regions. Experimental results demonstrate commendable performance in image copy-move forgery detection.