Forensics in Telecommunications, Information and Multimedia. Second International Conference, e-Forensics 2009, Adelaide, Australia, January 19-21, 2009, Revised Selected Papers

Research Article

Distinguishing between Camera and Scanned Images by Means of Frequency Analysis

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  • @INPROCEEDINGS{10.1007/978-3-642-02312-5_11,
        author={Roberto Caldelli and Irene Amerini and Francesco Picchioni},
        title={Distinguishing between Camera and Scanned Images by Means of Frequency Analysis},
        proceedings={Forensics in Telecommunications, Information and Multimedia. Second International Conference, e-Forensics 2009, Adelaide, Australia, January 19-21, 2009, Revised Selected Papers},
        proceedings_a={E-FORENSICS},
        year={2012},
        month={5},
        keywords={digital forensic source identification scanner sensor noise},
        doi={10.1007/978-3-642-02312-5_11}
    }
    
  • Roberto Caldelli
    Irene Amerini
    Francesco Picchioni
    Year: 2012
    Distinguishing between Camera and Scanned Images by Means of Frequency Analysis
    E-FORENSICS
    Springer
    DOI: 10.1007/978-3-642-02312-5_11
Roberto Caldelli1,*, Irene Amerini1, Francesco Picchioni1
  • 1: University of Florence
*Contact email: roberto.caldelli@unifi.it

Abstract

Distinguishing the kind of sensor which has acquired a digital image could be crucial in many scenarios where digital forensic techniques are called to give answers. In this paper a new methodology which permits to determine if a digital photo has been taken by a camera or has been scanned by a scanner is proposed. Such a technique exploits the specific geometrical features of the sensor pattern noise introduced by the sensor in both cases and by resorting to a frequency analysis can infer if a periodicity is present and consequently which is the origin of the digital content. Experimental results are presented to support the theoretical framework.