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International Conference on Artificial Intelligence and Security

ICAIS 2020: Artificial Intelligence and Security pp 86–97Cite as

A Novel Visual Cryptography Scheme Shared with Edge Information Embedded QR Code

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12240))

Abstract

QR code has been widely used in our daily life due to its convenience, and the security of QR code becomes a rising problem. In this paper, we introduce a new algorithm that adds the edge of the gray image to the QR code, and the edge information is captured by the Canny detector. And then we use the random grid based visual cryptography scheme (RG-VCS) to generate shares. Each share of the VCS is an individual QR code that can be scanned by a QR code reader, and the secret information can be decoded by purely stacking without computation. Meanwhile, we can also recover the secret image with better visual quality with the help of computation.

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Acknowledgment

This work was supported by the National Key Research and Development Program of China under Grant 2018YFB0804101 and the National Natural Science Foundation of China under Grant 61802357.

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Authors and Affiliations

  1. CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China, Hefei, 230027, Anhui, China

    Fei Hu, Yuanzhi Yao, Weihai Li & Nenghai Yu

Authors
  1. Fei Hu
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  2. Yuanzhi Yao
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  3. Weihai Li
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  4. Nenghai Yu
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Corresponding authors

Correspondence to Yuanzhi Yao or Weihai Li .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science, Nanjing, China

    Jinwei Wang

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Hu, F., Yao, Y., Li, W., Yu, N. (2020). A Novel Visual Cryptography Scheme Shared with Edge Information Embedded QR Code. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12240. Springer, Cham. https://doi.org/10.1007/978-3-030-57881-7_8

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  • DOI: https://doi.org/10.1007/978-3-030-57881-7_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57880-0

  • Online ISBN: 978-3-030-57881-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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