Tamper-proofing of electronic and printed text documents via robust hashing and data-hiding

1 March 2007 Tamper-proofing of electronic and printed text documents via robust hashing and data-hiding

R. Villán, S. Voloshynovskiy, O. Koval, F. Deguillaume, T. Pun

Author Affiliations +

Proceedings Volume 6505, Security, Steganography, and Watermarking of Multimedia Contents IX; 65051T (2007) https://doi.org/10.1117/12.704097
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

In this paper, we deal with the problem of authentication and tamper-proofing of text documents that can be distributed in electronic or printed forms. We advocate the combination of robust text hashing and text data-hiding technologies as an efficient solution to this problem. First, we consider the problem of text data-hiding in the scope of the Gel'fand-Pinsker data-hiding framework. For illustration, two modern text data-hiding methods, namely color index modulation (CIM) and location index modulation (LIM), are explained. Second, we study two approaches to robust text hashing that are well suited for the considered problem. In particular, both approaches are compatible with CIM and LIM. The first approach makes use of optical character recognition (OCR) and a classical cryptographic message authentication code (MAC). The second approach is new and can be used in some scenarios where OCR does not produce consistent results. The experimental work compares both approaches and shows their robustness against typical intentional/unintentional document distortions including electronic format conversion, printing, scanning, photocopying, and faxing.

Citation Download Citation

R. Villán, S. Voloshynovskiy, O. Koval, F. Deguillaume, and T. Pun "Tamper-proofing of electronic and printed text documents via robust hashing and data-hiding", Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 65051T (1 March 2007); https://doi.org/10.1117/12.704097

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