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Proceedings Paper

Forensic classification of imaging sensor types
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Paper Abstract

Digital images can be captured or generated by a variety of sources including digital cameras and scanners. In many cases it is important to be able to determine the source of a digital image. Methods exist to authenticate images generated by digital cameras or scanners, however they rely on prior knowledge of the image source (camera or scanner). This paper presents methods for determining the class of the image source (camera or scanner). The method is based on using the differences in pattern noise correlations that exist between digital cameras and scanners. To improve the classification accuracy a feature vector based approach using an SVM classifier is used to classify the pattern noise.

Paper Details

Date Published: 1 March 2007
PDF: 9 pages
Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 65050U (1 March 2007); doi: 10.1117/12.705849
Show Author Affiliations
Nitin Khanna, Purdue Univ. (United States)
Aravind K. Mikkilineni, Purdue Univ. (United States)
George T. C. Chiu, Purdue Univ. (United States)
Jan P. Allebach, Purdue Univ. (United States)
Edward J. Delp, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 6505:
Security, Steganography, and Watermarking of Multimedia Contents IX
Edward J. Delp III; Ping Wah Wong, Editor(s)

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