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

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

Research output: Contribution to journalConference articlepeer-review

108 Citations (Scopus)


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.

Original languageEnglish
Article number44
Pages (from-to)430-440
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 2005
EventProceedings of SPIE-IS and T Electronic Imaging - Security, Steganography, and Watermarking of Multimedia Contents VII - San Jose, CA, United States
Duration: 2005 Jan 172005 Jan 20

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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