Digital image forgery detection using artificial neural network and independent component analysis

Digital image forgery is the process of manipulating the original photographic images like resizing, rotation, scaling, etc. To produce the photographic images as the evidence to the court, there is the need to identify whether the produced image is original or forgery image. In this paper, an attempt is made to detect forgery portions of the digital image. This is achieved by training the artificial neural network using the ICA coefficients obtained in the AR domain of the image data.