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Digital Image Forensics Technique for Copy-Move Forgery Detection Using DoG and ORB

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Book cover Computer Vision and Graphics (ICCVG 2018)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11114))

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Abstract

Copy–Move forgery or Cloning is image tampering or alteration by copying one area in an image and pasting it into another area of the same image. Due to the availability of powerful image editing software, the process of malicious manipulation, editing and creating fake images has been tremendously simple. Thus, there is a need of robust PBIF (Passive–Blind Image Forensics) techniques to validate the authenticity of digital images. In this paper, CMFD (Copy–Move Forgery Detection) using DoG (Difference of Gaussian) blob detector to detect regions in image, with rotation invariant and resistant to noise feature detection technique called ORB (Oriented Fast and Rotated Brief) is implemented, evaluated on different standard datasets and experimental results are presented.

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Authors and Affiliations

  1. University of Hyderabad, Hyderabad, 500046, India

    Patrick Niyishaka & Chakravarthy Bhagvati

Authors
  1. Patrick Niyishaka
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  2. Chakravarthy Bhagvati
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Corresponding author

Correspondence to Patrick Niyishaka .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences, Warsaw, Poland

    Leszek J. Chmielewski

  2. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences, Warsaw, Poland

    Ryszard Kozera

  3. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences, Warsaw, Poland

    Arkadiusz Orłowski

  4. Institute of Computer Science, Silesian University of Technology, Gliwice, Poland

    Konrad Wojciechowski

  5. Technion, Israel Institute of Technology, Haifa, Israel

    Alfred M. Bruckstein

  6. University of Groningen, Groningen, The Netherlands

    Nicolai Petkov

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Niyishaka, P., Bhagvati, C. (2018). Digital Image Forensics Technique for Copy-Move Forgery Detection Using DoG and ORB. In: Chmielewski, L., Kozera, R., Orłowski, A., Wojciechowski, K., Bruckstein, A., Petkov, N. (eds) Computer Vision and Graphics. ICCVG 2018. Lecture Notes in Computer Science(), vol 11114. Springer, Cham. https://doi.org/10.1007/978-3-030-00692-1_41

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  • DOI: https://doi.org/10.1007/978-3-030-00692-1_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00691-4

  • Online ISBN: 978-3-030-00692-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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