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1 March 2007 Forensic classification of imaging sensor types
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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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nitin Khanna, Aravind K. Mikkilineni, George T. C. Chiu, Jan P. Allebach, and Edward J. Delp "Forensic classification of imaging sensor types", Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 65050U (1 March 2007);


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