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A QR Code Watermarking Approach Based on the DWT-DCT Technique

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Information Security and Privacy (ACISP 2017)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10343))

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Abstract

The rapid growth in Internet and communication technology has facilitated an escalation in the exchange of digital multimedia content. This has resulted in an increase in copyright infringement, which has led to a greater demand for more robust copyright protection mechanisms. Digital watermarking is a means of detecting ownership and illegal use of digital products. This paper presents an approach to watermarking images by embedding QR code information in a digital image. The notion of the proposed scheme is to capitalize on the error correction mechanism that is inherent in the QR code structure, in order to increase the robustness of the watermark. By employing the QR code’s error correction mechanism, watermark information contained within a watermarked image can potentially be decoded even if the image has been altered or distorted by an adversary. This paper studies the characteristics of the proposed scheme and presents experiment results examining the robustness and security of the QR code watermarking approach.

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Author information

Authors and Affiliations

  1. Institute of Cybersecurity and Cryptology, School of Computing and Information Technology, University of Wollongong, Wollongong, Australia

    Yang-Wai Chow, Willy Susilo, Joseph Tonien & Wei Zong

Authors
  1. Yang-Wai Chow
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  2. Willy Susilo
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  3. Joseph Tonien
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  4. Wei Zong
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Corresponding author

Correspondence to Yang-Wai Chow .

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Editors and Affiliations

  1. Queensland University of Technology, Brisbane, Queensland, Australia

    Josef Pieprzyk

  2. Queensland University of Technology, Brisbane, Queensland, Australia

    Suriadi Suriadi

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Chow, YW., Susilo, W., Tonien, J., Zong, W. (2017). A QR Code Watermarking Approach Based on the DWT-DCT Technique. In: Pieprzyk, J., Suriadi, S. (eds) Information Security and Privacy. ACISP 2017. Lecture Notes in Computer Science(), vol 10343. Springer, Cham. https://doi.org/10.1007/978-3-319-59870-3_18

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  • DOI: https://doi.org/10.1007/978-3-319-59870-3_18

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  • Online ISBN: 978-3-319-59870-3

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