FORENSIC SCANNER IDENTIFICATION USING DEEP LEARNING

FORENSIC SCANNER IDENTIFICATION USING DEEP LEARNING

Aakash Kumar, A.Nikhil, K.Pawan Sai Krishna Reddy, V. Vishal, Mrs. G Kalpana (Guide)

Department of Computer Science & Engineering

BACHELOR OF TECHNOLOGY

VIDYA JYOTHI INSTITUTE OF TECHNOLOGY
(An Autonomous Institution)

(Approved by AICTE , Accredited by NAAC, NBA & permanently Affiliated to JNTUH, )

Aziz Nagar Gate, C.B. Post, Hy derabad-500075

ABSTRACT

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 project, we describe a machine learning based system to address the forensic analysis of scanner devices. The proposed system uses machine-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.

Keywords:

Reliability map, digital image authentication, deep learning, convolutional neural network.