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A Novel Fragile Watermarking Scheme for 2D Vector Map Authentication

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Advances in Multimedia Information Processing – PCM 2017 (PCM 2017)

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Abstract

In this paper, we use a grouping method and feature marking to ensure a good localization accuracy. Then, on the basis of vertex insertion and an embedding strategy that can resist rotation, translation and scaling (RST) attacks, we design a group correlation method. And the RST invariant authentication information are generated with the log-polar transformation (LPT) and encryption technology. We construct two datasets and the invisibility, validity and localization ability are demonstrated through experiments. It can resist the batch features deletion attack accurately and mark out the deleted group.

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Acknowledgments

This work was supported by project of NSFC of China (61202455, 61472096, 61501132).

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Authors and Affiliations

  1. Harbin Engineering University, Harbin, China

    Guoyin Zhang, Qingan Da, Liguo Zhang, Jianguo Sun, Qilong Han, Liang Kou & WenShan Wang

Authors
  1. Guoyin Zhang
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  2. Qingan Da
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  3. Liguo Zhang
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  4. Jianguo Sun
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  5. Qilong Han
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  6. Liang Kou
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  7. WenShan Wang
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Corresponding author

Correspondence to Jianguo Sun .

Editor information

Editors and Affiliations

  1. University of Electronic Science and Technology of China, Chengdu, China

    Bing Zeng

  2. University of Chinese Academy of Sciences, Beijing, China

    Qingming Huang

  3. University of Ottawa, Ottawa, Ontario, Canada

    Abdulmotaleb El Saddik

  4. University of Electronic Science and Technology of China, Chengdu, China

    Hongliang Li

  5. Chinese Academy of Sciences, Beijing, China

    Shuqiang Jiang

  6. Harbin Institute of Technology, Harbin, China

    Xiaopeng Fan

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Cite this paper

Zhang, G. et al. (2018). A Novel Fragile Watermarking Scheme for 2D Vector Map Authentication. In: Zeng, B., Huang, Q., El Saddik, A., Li, H., Jiang, S., Fan, X. (eds) Advances in Multimedia Information Processing – PCM 2017. PCM 2017. Lecture Notes in Computer Science(), vol 10736. Springer, Cham. https://doi.org/10.1007/978-3-319-77383-4_86

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  • DOI: https://doi.org/10.1007/978-3-319-77383-4_86

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77382-7

  • Online ISBN: 978-3-319-77383-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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