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UK Workshop on Computational Intelligence

UKCI 2019: Advances in Computational Intelligence Systems pp 423–432Cite as

Beautified QR Code with Security Based on Data Hiding

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1043))

Abstract

In this paper, we combine beautified QR (Quick Response) code with data hiding algorithm. The QR code beautification algorithm based on error correction mechanism is used to generate the beautified QR code. In the process of generating the beautified QR code, the QR code modules are removed with the error correction capability allowed. The verified QR code is added to the beautified QR code to prevent the tampering of the QR code. Thus, we can enhance the security of the QR code when user scans it. The original image covered by the QR code and the verified QR code are embedded in the beautified QR code by using the LSB (Least Significant Bit) data hiding method. The experimental results show that the beautified QR code generated by the proposed algorithm is superior to the reference method in visual quality and security.

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Acknowledgment

This work is supported in part by the Key Research and Development Program of Jiangsu under grants BE2017071, BE2017647 and BE2018004-04, the Projects of International Cooperation and Exchanges of Changzhou under grant CZ20170018, the Fundamental Research Funds for the Central Universities under grant 2018B47114, the Open Research Fund of State Key Laboratory of Bioelectronics, Southeast University under grant 2019005, and the State Key Laboratory of Integrated Management of Pest Insects and Rodents under grant IPM1914.

Author information

Authors and Affiliations

  1. College of Internet of Things Engineering, Hohai University, Nanjing, 213022, People’s Republic of China

    Huili Cai & Xiaofeng Liu

  2. College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, 266590, People’s Republic of China

    Huili Cai & Bin Yan

Authors
  1. Huili Cai
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  2. Xiaofeng Liu
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  3. Bin Yan
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Corresponding author

Correspondence to Xiaofeng Liu .

Editor information

Editors and Affiliations

  1. School of Computing, University of Portsmouth, Portsmouth, UK

    Zhaojie Ju

  2. Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK

    Longzhi Yang

  3. Bristol Robotics Laboratory, University of the West of England, Bristol, UK

    Chenguang Yang

  4. School of Computing, University of Portsmouth, Portsmouth, Hampshire, UK

    Alexander Gegov

  5. School of Computing, University of Portsmouth, Portsmouth, UK

    Dalin Zhou

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Cite this paper

Cai, H., Liu, X., Yan, B. (2020). Beautified QR Code with Security Based on Data Hiding. In: Ju, Z., Yang, L., Yang, C., Gegov, A., Zhou, D. (eds) Advances in Computational Intelligence Systems. UKCI 2019. Advances in Intelligent Systems and Computing, vol 1043. Springer, Cham. https://doi.org/10.1007/978-3-030-29933-0_35

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