Channel model and operational capacity analysis of printed text documents

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

doi:10.1117/12.704136

1 March 2007 Channel model and operational capacity analysis of printed text documents

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

Proceedings Volume 6505, Security, Steganography, and Watermarking of Multimedia Contents IX; 65051U (2007) https://doi.org/10.1117/12.704136
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

In today's digital world securing different forms of content is very important in terms of protecting copyright and verifying authenticity. One example is watermarking of digital audio and images. We believe that a marking scheme analogous to digital watermarking but for documents is very important. In this paper we describe the use of laser amplitude modulation in electrophotographic printers to embed information in a text document. In particular we describe an embedding and detection process which allows the embedding of between 2 and 8 bits in a single line of text. For a typical 12 point document this translates to between 100 and 400 bits per page. We also perform an operational analysis to compare two decoding methods using different embedding densities.

Citation Download Citation

Aravind K. Mikkilineni, Pei-Ju Chiang, George T. C. Chiu, Jan P. Allebach, and Edward J. Delp "Channel model and operational capacity analysis of printed text documents", Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 65051U (1 March 2007); https://doi.org/10.1117/12.704136

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available