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International Conference of Pioneering Computer Scientists, Engineers and Educators

ICYCSEE 2016: Social Computing pp 326–334Cite as

Detection of Copy-Scale-Move Forgery in Digital Images Using SFOP and MROGH

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 623))

Abstract

Social network platforms such as Twitter, Instagram and Facebook are one of the fastest and most convenient means for sharing digital images. Digital images are generally accepted as credible news but, it may undergo some manipulations before being shared without leaving any obvious traces of tampering; due to existence of the powerful image editing softwares. Copy-move forgery technique is a very simple and common type of image forgery, where a part of the image is copied and then pasted in the same image to replicate or hide some parts from the image. In this paper, we proposed a copy-scale-move forgery detection method based on Scale Invariant Feature Operator (SFOP) detector. The keypoints are then described using MROGH descriptor. Experimental results show that the proposed method is able to locate and detect the forgery even if under some geometric transformations such as scaling.

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Acknowledgment

The authors would like to thank all anonymous reviewers for their insightful comments. Additionally, This work is supported by the National Natural Science Foundation of China (Grant Number: 61471141, 61301099, 61361166006), the Fundamental Research Funds for the Central Universities (Grant Number: HIT. KISTP. 201416, HIT. KISTP. 201414).

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150080, China

    Mahmoud Emam, Qi Han & Hongli Zhang

  2. Department of Mathematics, Faculty of Science, Menoufia University, Shebin El-koom, 32511, Egypt

    Mahmoud Emam

Authors
  1. Mahmoud Emam
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  2. Qi Han
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  3. Hongli Zhang
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Corresponding authors

Correspondence to Mahmoud Emam or Qi Han .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology , Harbin, China

    Wanxiang Che

  2. Harbin Engineering University , Harbin, China

    Qilong Han

  3. Harbin Institute of Technology , Harbin, China

    Hongzhi Wang

  4. Northeast Forestry University , Harbin, China

    Weipeng Jing

  5. National University of Defense Technology , Changsha, China

    Shaoliang Peng

  6. Harbin Engineering University , Harbin, China

    Junyu Lin

  7. Harbin Univ. of Science and Technology , Harbin, China

    Guanglu Sun

  8. Harbin Univ. of Science and Technology , Harbin, China

    Xianhua Song

  9. Harbin Engineering University , Harbin, China

    Hongtao Song

  10. Harbin Sea of Clouds & Computer Tech. , Harbin, China

    Zeguang Lu

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© 2016 Springer Science+Business Media Singapore

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Cite this paper

Emam, M., Han, Q., Zhang, H. (2016). Detection of Copy-Scale-Move Forgery in Digital Images Using SFOP and MROGH. In: Che, W., et al. Social Computing. ICYCSEE 2016. Communications in Computer and Information Science, vol 623. Springer, Singapore. https://doi.org/10.1007/978-981-10-2053-7_29

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  • DOI: https://doi.org/10.1007/978-981-10-2053-7_29

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2052-0

  • Online ISBN: 978-981-10-2053-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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