Printer identification based on graylevel co-occurrence features for security and forensic applications

Aravind K. Mikkilineni; Pei-Ju Chiang; Gazi N. Ali; George T. C. Chiu; Jan P. Allebach; Edward J. Delp III

doi:10.1117/12.593796

21 March 2005 Printer identification based on graylevel co-occurrence features for security and forensic applications

Aravind K. Mikkilineni, Pei-Ju Chiang, Gazi N. Ali, George T. C. Chiu, Jan P. Allebach, Edward J. Delp III

Proceedings Volume 5681, Security, Steganography, and Watermarking of Multimedia Contents VII; (2005) https://doi.org/10.1117/12.593796
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

In today's digital world securing different forms of content is very important in terms of protecting copyright and verifying authenticity. Many techniques have been developed to protect audio, video, digital documents, images, and programs (executable code). One example is watermarking of digital audio and images. We believe that a similar type of protection for printed documents is very important. The goals of our work are to securely print and trace documents on low cost consumer printers such as inkjet and electrophotographic (laser) printers. We will accomplish this through the use of intrinsic and extrinsic features obtained from modelling the printing process. In this paper we describe the use of image texture analysis to identify the printer used to print a document. In particular we will describe a set of features that can be used to provide forensic information about a document. We will demonstrate our methods using 10 EP printers.

Citation Download Citation

Aravind K. Mikkilineni, Pei-Ju Chiang, Gazi N. Ali, George T. C. Chiu, Jan P. Allebach, and Edward J. Delp III "Printer identification based on graylevel co-occurrence features for security and forensic applications", Proc. SPIE 5681, Security, Steganography, and Watermarking of Multimedia Contents VII, (21 March 2005); https://doi.org/10.1117/12.593796

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