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

Authors

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.

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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

01-11-2021

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