Entropy Based Data Hiding for Document Images

Authors: Swetha Kurup, Sridhar G., Sridhar V.

Abstract:

In this paper we present a novel technique for data hiding in binary document images. We use the concept of entropy in order to identify document specific least distortive areas throughout the binary document image. The document image is treated as any other image and the proposed method utilizes the standard document characteristics for the embedding process. Proposed method minimizes perceptual distortion due to embedding and allows watermark extraction without the requirement of any side information at the decoder end.

Keywords: Entropy, Steganography, Watermarking.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1061072

References:

[1] L. Haipang , Alex C. Kot, and Yun Q. Shi , "Distance-Reciprocal Distortion Measure for Binary Document Images," in IEEE Signal Processing Letters, Vol. 11,No. 2,February 2004.
[2] Y. Huijuan and Alex C. Kot, "Text Document Authentication By Integrating Inter Character And Word Spaces Watermarking" ", The 2004 IEEE International Conference on Multimedia and Expo. (ICME'2004), June 26-30, 2004.
[3] Y. Huijuan and Alex C. Kot, "Data hiding for Bi-level Documents Using Smoothing Techniques", The 2004 IEEE International Symposium on Circuits and Systems(ISCAS'2004), Vol. V, pp. 692-695, May 23-26, 2004.
[4] Young-Won Kim, Kyung-Ae Moon, and Il-Seok Oh, "A Text watermarking Algorithm based on Word Classification and Inter-word Space Statistics", IEEE, Seventh International Conference on Document Analysis and Recognition Volume II, August 03-06,2003, Edinburgh, Scotland.
[5] H. Ding and Hong Yan "Interword Distance Changes Represented by Sine Waves for Watermarking Text Images", CirSysVideo, Vol 11, No. 12, December 2001.
[6] K. Jonathan Su, Frank Hartung, and Bernd Girod ,"Digital Watermarking of Text, Images and Video Documents", Computer Graphics International 98, Hannover, Germany, June 1998.
[7] C. Nopporn, "Document Image Data Hiding Using Character Spacing Width Sequence Coding", in ICIP-99, pg II:250-254.
[8] S. Pavan, Sridhar Gangadharpalli, Sridhar V., "Multivariate Entropy Detector Based Hybrid Image Registration Algorithm", IEEE International Conference on Acoustics, Speech, and Signal Processing, March 18-23, 2005 (ICASSP).