Real time digital image identification based on mobile system

This paper is to research the digital image identification based on embedded mobile system, we describe a digital image forensics technique to distinguish every frame(image) captured by a digital camera from Mobile device generated images. Our approach is based on the fact that frame(image) acquisition in a digital camera is fundamentally different from the generative algorithms deployed by computer generated imagery. This difference is captured in terms of the properties of the residual image (pattern noise in case of digital camera images) extracted by a wavelet based DirectShow filter. In addition, our results indicate that the residuals obtained from digital camera images and computer generated images exhibit some common characteristics that could be used as the proof of identification.