Forensic printer detection using intrinsic signatures

Aravind K. Mikkilineni; Nitin Khanna; Edward J. Delp

doi:10.1117/12.876742

11 February 2011 Forensic printer detection using intrinsic signatures

Aravind K. Mikkilineni, Nitin Khanna, Edward J. Delp

Proceedings Volume 7880, Media Watermarking, Security, and Forensics III; 78800R (2011) https://doi.org/10.1117/12.876742
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

Several methods exist for printer identification from a printed document. We have developed a system that performs printer identification using intrinsic signatures of the printers. Because an intrinsic signature is tied directly to the electromechanical properties of the printer, it is difficult to forge or remove. In previous work we have shown that intrinsic signatures are capable of solving the problem of printer classification on a restricted set of printers. In this paper we extend our previous work to address the problem of forensic printer identification, in which a document may or may not belong to a known set of printers. We propose to use a Euclidean distance based metric in a reduced feature space. The reduced feature space is obtained by using sequential feature selection and linear discriminant analysis.

Citation Download Citation

Aravind K. Mikkilineni, Nitin Khanna, and Edward J. Delp "Forensic printer detection using intrinsic signatures", Proc. SPIE 7880, Media Watermarking, Security, and Forensics III, 78800R (11 February 2011); https://doi.org/10.1117/12.876742

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