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ORB for Detecting Copy-Move Regions with Scale and Rotation in Image Forensics

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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications (FDSE 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1306))

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Abstract

The paper proposes a method to detect the forged regions in image using the Oriented FAST and Rotated BRIEF (ORB). In many previous researches in the field of copy-move forgery detection, algorithms mainly focus on objects or parts which are copied, moved and pasted in another places in the same image with the same size of the original parts or included the rotation sometimes, but the copied regions detection with different scale has not much interested in. By adding an oriented component to FAST and the rotation feature to BRIEF, ORB makes the proposed method more powerful and efficient to detect copy-move regions with both scale and rotation. In addition, the removing non-copied objects by calculating their sharpness improves the accuracy of the detection. The experiment is done on the datasets for copy-move images and some real images with the improved time and high accuracy.

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Author information

Authors and Affiliations

  1. International University, Ho Chi Minh City, Vietnam

    Kha-Tu Huynh & Tu-Nga Ly

  2. Vietnam National University, Ho Chi Minh City, Vietnam

    Kha-Tu Huynh & Tu-Nga Ly

  3. University of Technology, Ho Chi Minh City, Vietnam

    Thuong Le-Tien

Authors
  1. Kha-Tu Huynh
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  2. Tu-Nga Ly
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  3. Thuong Le-Tien
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Corresponding author

Correspondence to Kha-Tu Huynh .

Editor information

Editors and Affiliations

  1. Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam

    Tran Khanh Dang

  2. Johannes Kepler University of Linz, Linz, Austria

    Josef Küng

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

  4. Sungkyunkwan University, Suwon, Korea (Republic of)

    Tai M. Chung

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Huynh, KT., Ly, TN., Le-Tien, T. (2020). ORB for Detecting Copy-Move Regions with Scale and Rotation in Image Forensics. In: Dang, T.K., Küng, J., Takizawa, M., Chung, T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2020. Communications in Computer and Information Science, vol 1306. Springer, Singapore. https://doi.org/10.1007/978-981-33-4370-2_25

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  • DOI: https://doi.org/10.1007/978-981-33-4370-2_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4369-6

  • Online ISBN: 978-981-33-4370-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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