African Journal of
Mathematics and Computer Science Research

  • Abbreviation: Afr. J. Math. Comput. Sci. Res.
  • Language: English
  • ISSN: 2006-9731
  • DOI: 10.5897/AJMCSR
  • Start Year: 2008
  • Published Articles: 236

Full Length Research Paper

New scrambling algorithm for hiding scanned documents

Mohamed Mostafa AbdAllah1,2 and Gasim Alandjani1
1Department of Electrical, Communications and Electronics, Faculty of Engineering, Minia University, Egypt. 2Department of Electrical and Electronics, Yanbu Industrial College, Royal Commission, Kingdom of Saudi Arabia.
Email: [email protected]

  • Article Number - 0DBC92C2634
  • Vol.4(9), pp. 286- 293, September 2011
  •  Accepted: 18 April 2011
  •  Published: 09 September 2011

Abstract

 

This paper introduces a new technique to hide scanned document in a digital image. It is a one-to-one matching between the pixels from the cover image to the pixel in scanned documents image. The proposed algorithm is an efficient computer-based steganographic method for embedding secret messages into images without producing noticeable changes is implemented. There is no need of referencing the original cover image while extracting the embedded data from a stego-image. This method utilizes the characteristic of the human vision’s sensitivity to gray value variations from smoothness to contrast. Distortions in the cover images are less noticeable because changes in the edge part of the images are less obvious to human observer. The method not only provides a better way for embedding large amounts of data into cover images with imperceptions, but also offers an easy way to accomplish secrecy. This method provides better results as compared to LSB replacement method where the distortions are spread all over the image.

 

Key words: Steganography, scanned documents, information embedding, secret communication.

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