Copy Move Forgery Detection on Digital Images

In today's scenario forging of the Digital images has become a common phenomena. The availability of low cost manipulation software also boost to this practice. The foremost practice of manipulating the digital images employed by the most forgerer is the copy move forgery. Copy move forgery is basically concerned with concealing or duplicating one region in an image by pasting certain portions of the same image on it. Numerous Algorithms are proposed to detect copy move forgery in digital images. In this paper an enhanced way to detect copy move forgery is proposed. It is analyzed that block based methods are secured against noise and JPEG compression where as feature based methods are robust to the rotation and scaling operations . The proposed approach use both block based method and feature based method to increase the accuracy rate of forgery detection. The Proposed method employed DCT and SIFT to extract features from image and matching those collected features to detect forgery on image and also perform the localization of the Forged Regions in the Digital Image.