  Due to the increasing availability and functionality of image editing tools,
many forensic techniques such as digital image authentication, source
identification and tamper detection are important for forensic image analysis.
In this paper, we describe a machine learning based system to address the
forensic analysis of scanner devices. The proposed system uses deep-learning to
automatically learn the intrinsic features from various scanned images. Our
experimental results show that high accuracy can be achieved for source scanner
identification. The proposed system can also generate a reliability map that
indicates the manipulated regions in an scanned image.
