The Center for Education and Research in Information Assurance and Security (CERIAS)

The Center for Education and Research in
Information Assurance and Security (CERIAS)

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

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Author

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

Entry type

inproceedings

Abstract

In today's digital world securing dierent 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.

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Date

2005 – 03

Booktitle

Proceedings of the SPIE International Conference on Security, Steganography, and Watermarking of Multimedia Contents VII

Key alpha

Mikkilineni

Pages

430--440

Volume

5681

Affiliation

Purdue University

Publication Date

2005-03-01

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