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Watermarking Based on Krawtchouk Moments for Handwritten Document Images

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Progress in Artificial Intelligence and Pattern Recognition (IWAIPR 2018)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11047))

Abstract

In this paper, a digital watermarking technique for copyright protection based on the concept of embed a digital watermark and modifying coefficients in Krawtchouk moments domain is presented. This technique is specifically for handwritten document images using a QR code as a digital watermark. It consists in dividing the image into \(8\times 8\) pixels blocks, where the number of selected blocks is equal to the number of watermark bits. The Krawtchouk moments of each selected block are determined. After that, one coefficient is modified using Dither modulation. In addition, the results obtained in terms of perceptual quality (PSNR) and robustness (BER) show that the proposed technique is robust to JPEG compression attacks keeping imperceptibility.

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Author information

Authors and Affiliations

  1. Universidad de Granma, Carretera Central vía Holguín Km 1/2, Bayamo, Granma, Cuba

    Ernesto Avila-Domenech & Anier Soria-Lorente

Authors
  1. Ernesto Avila-Domenech
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  2. Anier Soria-Lorente
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Corresponding author

Correspondence to Ernesto Avila-Domenech .

Editor information

Editors and Affiliations

  1. Universidad de las Ciencias Informáticas, Havana, Cuba

    Yanio Hernández Heredia

  2. Universidad de las Ciencias Informáticas, Havana, Cuba

    Vladimir Milián Núñez

  3. Universidad de las Ciencias Informáticas, Havana, Cuba

    José Ruiz Shulcloper

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Avila-Domenech, E., Soria-Lorente, A. (2018). Watermarking Based on Krawtchouk Moments for Handwritten Document Images. In: Hernández Heredia, Y., Milián Núñez, V., Ruiz Shulcloper, J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2018. Lecture Notes in Computer Science(), vol 11047. Springer, Cham. https://doi.org/10.1007/978-3-030-01132-1_14

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  • DOI: https://doi.org/10.1007/978-3-030-01132-1_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01131-4

  • Online ISBN: 978-3-030-01132-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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