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DWT and QR Code Based Watermarking for Document DRM

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Digital Forensics and Watermarking (IWDW 2018)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11378))

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Abstract

This paper presents a digital rights protection scheme for every type of document presented as an image, by using steps that use cryptography and watermarking. The entities involved in this process are two: the owner of the document that owns its digital rights and a generic user who can download or view a watermarked version of the original document. The watermarked version contains a QR code that is repeatedly inserted, and scrambled, by the document rights owner, into the frequency components of the image, thus producing the watermarked image. The QR code contains a signed ID that uniquely identifies every users using the system. The schema, a non-blind type, achieves good perceptive quality and fair robustness using the third level of the Discrete Wavelet Transform. The experimental results show that by inserting several occurrences of a scrambled QR code we get an approach that is quite resistant to JPEG compression, rotation, cropping, and salt and pepper noise.

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Author information

Authors and Affiliations

  1. Sapienza University of Rome, Rome, Italy

    Nicolò Cardamone & Fabrizio d’Amore

Authors
  1. Nicolò Cardamone
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  2. Fabrizio d’Amore
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Corresponding author

Correspondence to Fabrizio d’Amore .

Editor information

Editors and Affiliations

  1. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Chang D. Yoo

  2. New Jersey Institute of Technology, Newark, NJ, USA

    Yun-Qing Shi

  3. Korea University, Seoul, Korea (Republic of)

    Hyoung Joong Kim

  4. University of Florence, Florence, Italy

    Alessandro Piva

  5. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Gwangsu Kim

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Cardamone, N., d’Amore, F. (2019). DWT and QR Code Based Watermarking for Document DRM. In: Yoo, C., Shi, YQ., Kim, H., Piva, A., Kim, G. (eds) Digital Forensics and Watermarking. IWDW 2018. Lecture Notes in Computer Science(), vol 11378. Springer, Cham. https://doi.org/10.1007/978-3-030-11389-6_11

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  • DOI: https://doi.org/10.1007/978-3-030-11389-6_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11388-9

  • Online ISBN: 978-3-030-11389-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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