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.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-642-02312-5_25
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Caldelli, R., Amerini, I., Picchioni, F. (2009). Distinguishing between Camera and Scanned Images by Means of Frequency Analysis. In: Sorell, M. (eds) Forensics in Telecommunications, Information and Multimedia. e-Forensics 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02312-5_11
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DOI: https://doi.org/10.1007/978-3-642-02312-5_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02311-8
Online ISBN: 978-3-642-02312-5
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