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

研究成果: Conference article

94 引文 斯高帕斯(Scopus)

摘要

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.

原文English
文章編號44
頁(從 - 到)430-440
頁數11
期刊Proceedings of SPIE - The International Society for Optical Engineering
5681
DOIs
出版狀態Published - 2005 七月 21
事件Proceedings of SPIE-IS and T Electronic Imaging - Security, Steganography, and Watermarking of Multimedia Contents VII - San Jose, CA, United States
持續時間: 2005 一月 172005 一月 20

    指紋

All Science Journal Classification (ASJC) codes

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

引用此