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Proceedings Paper

Scanner identification using sensor pattern noise
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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. This paper presents methods for authenticating images that have been acquired using flatbed desktop scanners. The method is based on using the pattern noise of the imaging sensor as a fingerprint for the scanner, similar to methods that have been reported for identifying digital cameras. To identify the source scanner of an image a reference pattern is estimated for each scanner and is treated as a unique fingerprint of the scanner. An anisotropic local polynomial estimator is used for obtaining the reference patterns. To further improve the classification accuracy a feature vector based approach using an SVM classifier is used to classify the pattern noise. This feature vector based approach is shown to achieve a high classification accuracy.

Paper Details

Date Published: 1 March 2007
PDF: 11 pages
Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 65051K (1 March 2007); doi: 10.1117/12.705837
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; Ping Wah Wong, Editor(s)

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