Fake Document and Image Detection

Authors

  • Amit Lokre  Department of Computer Engineering, SPPU, Dr. D. Y. Patil School of Engineering, Pune, Maharashtra, India
  • Sangram Thorat  Department of Computer Engineering, SPPU, Dr. D. Y. Patil School of Engineering, Pune, Maharashtra, India
  • Chetan Gadekar  Department of Computer Engineering, SPPU, Dr. D. Y. Patil School of Engineering, Pune, Maharashtra, India
  • Pranali Patil  Department of Computer Engineering, SPPU, Dr. D. Y. Patil School of Engineering, Pune, Maharashtra, India
  • Prof. Yogesh Mali  Assistant Professor, Department of Computer Engineering, Dr D Y Patil School of Engineering, Lohegaon, Pune, Maharashtra, India

Keywords:

Artificial Neural Network; GLMC Features; Graphical User Interface; Machine Learning; Support Vector Machine.

Abstract

In the recent times, the rates of cybercrimes have been increasing tremendously. It has been proven incredibly easy to create fake documents with powerful photo editing software. Also, social media has proven to be the largest producer of fake images as well. Various malpractices have also been on surge with the help of producing digitally manipulated fake documents. Detection of such fake documents has become mandatory and essential for unveiling of the documents/images-based cybercrimes. The tampered images and documents will be detected using neural network. The output of the system will distinguish original document from a digitally morphed document. The system will be implemented using Neural Networks

References

  1. Shruti Ranjan, Prayati Garhwal, Anupama Bhan, Monika Arora, Anu Mehra,”Framework For Image Forgery Detection And Classification Using Machine Learning”.2nd International Conference on Trends in. . . 2018. DOI: 10.1109/icoei.2018.8553924
  2. Mohsen Zandi, Ahmad Mahmoudi- Aznaveh, Alireza Talebpour, ”Iterative Copy-Move Forgery Detection Based on a New Interest Point Detector”, Information Forensics and Security IEEE Transactions on, vol. 11, pp. 2499-2512, 2016, ISSN 15566013
  3. Kushol, Rafsanjany Salekin, Md Sirajus Hasanul Kabir, Md Alam Khan, Ashraful. (2016). ”Copy-Move Forgery Detection Using Colour Space and Moment InvariantsBased Features” .2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA 1- 6.10.1109/DICTA.2016.7797027
  4. Xunyu Pan, Siwei Lyu, ”Region Duplication Detection Using Image Feature Matching”, Information Forensics and Security IEEE Transactions on, vol. 5, pp. 857-867, 2010, ISSN 1556-6013.
  5. Anil Dada Warbhe, Rajiv V. A Fast, Block Based, CopyMove Forgery Detection Approach Using Image Gradient and Modified K-Means”

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Amit Lokre, Sangram Thorat, Chetan Gadekar, Pranali Patil, Prof. Yogesh Mali, " Fake Document and Image Detection" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 3, pp.75-80, May-June-2021.