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International Conference on Computer Vision, Graphics, and Image processing

ICVGIP 2016: Computer Vision, Graphics, and Image Processing pp 3–14Cite as

A Novel Intelligent Multiple Watermarking Schemes for the Protection of the Information Content of a Document Image

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10481))

Abstract

Most of the past document image watermarking schemes focus on providing same level of integrity and copyright protection for information present in the source document image. However, in a document image the information contents possess various levels of sensitivity. Each level of sensitivity needs different type of protection and this demands multiple watermarking techniques. In this paper, a novel intelligent multiple watermarking techniques are proposed. The sensitivity of the information content of a block is based on the homogeneity and relative energy contribution parameters. Appropriate watermarking scheme is applied based on sensitivity classification of the block. Experiments are conducted exhaustively on documents. Experimental results reveal the accurate identification of the sensitivity of information content in the block. The results reveal that multiple watermarking schemes has reduced the amount of data to be embedded and consequently improved perceptual quality of the watermarked image.

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Authors and Affiliations

  1. Department of CSE, JNN College of Engineering, Shimoga, Karnataka, India

    K. R. Chetan & S. Nirmala

Authors
  1. K. R. Chetan
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  2. S. Nirmala
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Corresponding author

Correspondence to K. R. Chetan .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology, Chittoor, India

    Snehasis Mukherjee

  2. GE Global Research, Bangalore, India

    Suvadip Mukherjee

  3. Indian Statistical Institute, Kolkata, India

    Dipti Prasad Mukherjee

  4. International Institute of Information Technology, Hyderabad, India

    Jayanthi Sivaswamy

  5. Indian Institute of Technology Bombay, Mumbai, India

    Suyash Awate

  6. CEDAR, Buffalo, New York, USA

    Srirangaraj Setlur

  7. International Institute of Information Technology, Hyderabad, India

    Anoop M. Namboodiri

  8. CSIR-CEERI, Pilani, Rajasthan, India

    Santanu Chaudhury

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Chetan, K.R., Nirmala, S. (2017). A Novel Intelligent Multiple Watermarking Schemes for the Protection of the Information Content of a Document Image. In: Mukherjee, S., et al. Computer Vision, Graphics, and Image Processing. ICVGIP 2016. Lecture Notes in Computer Science(), vol 10481. Springer, Cham. https://doi.org/10.1007/978-3-319-68124-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-68124-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68123-8

  • Online ISBN: 978-3-319-68124-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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