An Image Forgery Detection using SIFT-PCA

Abstract

Digital Images plays an important role for transferring the information and are widely used in all areas of day-today life. Although, with the development of modern technologies, multiple software's are developed. This leads to the forgery of digital images. Copy-move Image Forgery Detection is one of the forensic techniques in which selected area of an image is get copied and then moved onto the other portion of the image. In this research, the main aim is to detect the forged region from the image. A method is proposed to detect the copy-move forgery in an image, by comparing extracted key points. The SIFT (Scale Invariant Feature Transform) algorithm is used for extracting the invariant features from an image and then extract blocks by using PCA.