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A Copy-Move Detection Algorithm Based on Geometric Local Binary Pattern

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Digital Communication. Towards a Smart and Secure Future Internet (TIWDC 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 766))

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Abstract

An obvious way of digital image forgery is a copy-move attack. It is quite simple to carry out to hide important information in an image. Copy-move process contains three main steps: copy the fragment from one place of an image, transform it by some means and paste to another place of the same image. A lot of papers on development of copy-move detection algorithms exist nowadays though the achieved results are far from perfect, so they are frequently improved. In this paper, it is proposed a new copy-move detection algorithm based on geometric local binary patterns (GLBP). GLBP features are robust to contrast enhancement, additive Gaussian noise, JPEG compression, affine transform. Another advantage of these features is low computational complexity. Conducted experiments compare GLBP-based features with features based on other forms of local binary patterns. The proposed solution showed high precision and recall values during experimental research for wide ranges of transform parameters. Thus, it showed a meaningful improvement in detection accuracy.

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Author information

Authors and Affiliations

  1. Samara National Research University, Samara, Russia

    Andrey Kuznetsov

Authors
  1. Andrey Kuznetsov
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Correspondence to Andrey Kuznetsov .

Editor information

Editors and Affiliations

  1. University of Florence, Florence, Italy

    Alessandro Piva

  2. University of Palermo, Palermo, Italy

    Ilenia Tinnirello

  3. University of Florence, Florence, Italy

    Simone Morosi

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Kuznetsov, A. (2017). A Copy-Move Detection Algorithm Based on Geometric Local Binary Pattern. In: Piva, A., Tinnirello, I., Morosi, S. (eds) Digital Communication. Towards a Smart and Secure Future Internet. TIWDC 2017. Communications in Computer and Information Science, vol 766. Springer, Cham. https://doi.org/10.1007/978-3-319-67639-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-67639-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67638-8

  • Online ISBN: 978-3-319-67639-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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