Design of Image Copy-Paste Forensics System Based on Moment Invariants

Authors

  • Jingyi Shen Shanghai University of Engineering Sciences Author
    • Yun Yao Shanghai University of Engineering Sciences Author
      • Hao Mei Shanghai University of Engineering Sciences Author

        DOI:

        https://doi.org/10.31686/ijier.vol9.iss11.3547

        Keywords:

        Copy-paste forgery, image tampering detection, forensics system

        Abstract

        Copy-paste tampering is a common type of digital image tampering, which refers to copying a part of the image area in the same image, and then pasting it into another area of the image to generate a forged image, so as to carry out malicious operations such as fraud and framing. This kind of malicious forgery leads to the security problem of digital image. The research of digital image copy paste forensics has important theoretical significance and practical value. For digital image copy-paste tampering, this paper is based on moment invariant image copy paste tampering detection algorithm, and use Matlab software to design the corresponding tampering forensics system.

        Author Biographies

        • Jingyi Shen, Shanghai University of Engineering Sciences

          School of Electronic and Electrical Engineering

        • Yun Yao, Shanghai University of Engineering Sciences

          School of Electronic and Electrical Engineering

        • Hao Mei, Shanghai University of Engineering Sciences

          School of Electronic and Electrical Engineering

        References

        Gonzalez Rafael C, Woods Richard E, and Eddins Steven L. Digital Image Processing (MATLAB Edition). Electronic Industry Press, 2005.

        Tejas K, Swathi C, and Rajesh K M. Copy Move Forgery using Hus Invariant Moments and Log Polar Transformations. The 3rd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Bangalore, India, 18-19 May 2018. DOI: https://doi.org/10.1109/RTEICT42901.2018.9012293

        Zhao J and Guo J. Passive Forensics for Copy-Move Image Forgery using a method Based on DCT and SVD. Forensic Science International, 2013, (233):158-166. DOI: https://doi.org/10.1016/j.forsciint.2013.09.013

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        Published

        2021-11-01

        Issue

        Vol. 9 No. 11 (2021): International Journal for Innovation Education and Research

        Section

        Journal Articles

        License

        Copyright (c) 2021 Jingyi Shen, Yun Yao, Hao Mei

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        How to Cite

        Shen, J., Yao, Y., & Mei, H. (2021). Design of Image Copy-Paste Forensics System Based on Moment Invariants. International Journal for Innovation Education and Research, 9(11), 552-555. https://doi.org/10.31686/ijier.vol9.iss11.3547