A DFT-Based Analysis to Discern Between Camera and Scanned Images

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Author(s): Roberto Caldelli (University of Florence, Italy), Irene Amerini (University of Florence, Italy)and Francesco Picchioni (University of Florence, Italy)
Copyright: 2012
Pages: 8
Source title: Crime Prevention Technologies and Applications for Advancing Criminal Investigation
Source Author(s)/Editor(s): Chang-Tsun Li (University of Warwick, UK)and Anthony T.S. Ho (University of Surrey, UK)
DOI: 10.4018/978-1-4666-1758-2.ch001

Keywords: Digital Crime & Forensics / Information Science Reference / IT Security and Ethics / Security & Forensics

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Abstract

Digital images are generated by different sensors, understanding which kind of sensor has acquired a certain image could be crucial in many application scenarios where digital forensic techniques operate. In this paper a new methodology which permits to establish if a digital photo has been taken by a photo-camera or has been scanned by a scanner is presented. The specific geometrical features of the sensor pattern noise introduced by the sensor are investigated by resorting to a DFT (Discrete Fourier Transform) analysis and consequently the origin of the digital content is assessed. Experimental results are provided to witness the reliability of the proposed technique.

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A DFT-Based Analysis to Discern Between Camera and Scanned Images

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