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Zernike Moment-Based Approach for Detecting Duplicated Image Regions by a Modified Method to Reduce Geometrical and Numerical Errors

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Computational Science and Its Applications -- ICCSA 2015 (ICCSA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9158))

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Abstract

In the paper, the approach is focused on the Zernike Moment-based model of ROI image (Region of Interest) and its parameters for an efficient image processing in the forensic issue. By considering the factors affecting the identification of an duplicated image, the change of ROI’s size is determined through the proposed algorithm. The proposed technique has shown a good improvement in reducing significantly Geometrical Errors (G.E) and Numerical Errors (N.E) performed better than that of the Zernike-based traditional technique. The duplicated detection program has been written by C++ and supporting OpenCV and Boost libraries that help to verify the images authentication.

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Author information

Authors and Affiliations

  1. Dept. of Electrical Electronics Eng., HCM City University of Technology, Ho Chi Minh City, Vietnam

    Thuong Le-Tien

  2. Faculty of Information Technique, Mannheim University of Applied Science, Mannheim, Germany

    Tan Huynh-Ngoc

  3. School of Computer Science and Eng., HCM City International University, Ho Chi Minh City, Vietnam

    Tu Huynh-Kha

  4. Labo L2TI, Institut Galilee, University of Paris 13, Paris, France

    Luong Marie

Authors
  1. Thuong Le-Tien
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  2. Tan Huynh-Ngoc
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  3. Tu Huynh-Kha
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  4. Luong Marie
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Corresponding author

Correspondence to Thuong Le-Tien .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Canaanland, Nigeria

    Sanjay Misra

  4. University of Calgary, Calgary, Alberta, Canada

    Marina L. Gavrilova

  5. University of Minho, Braga, Portugal

    Ana Maria Alves Coutinho Rocha

  6. Polytechnic University, Bari, Italy

    Carmelo Torre

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

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Le-Tien, T., Huynh-Ngoc, T., Huynh-Kha, T., Marie, L. (2015). Zernike Moment-Based Approach for Detecting Duplicated Image Regions by a Modified Method to Reduce Geometrical and Numerical Errors. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9158. Springer, Cham. https://doi.org/10.1007/978-3-319-21410-8_36

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  • DOI: https://doi.org/10.1007/978-3-319-21410-8_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21409-2

  • Online ISBN: 978-3-319-21410-8

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