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Latest Trends in Image Forgery Detection

Kavita Rathi1

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-12 , Page no. 41-45, Dec-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i12.4145

Online published on Dec 31, 2019

Copyright © Kavita Rathi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Kavita Rathi, “Latest Trends in Image Forgery Detection,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.12, pp.41-45, 2019.

MLA Style Citation: Kavita Rathi "Latest Trends in Image Forgery Detection." International Journal of Computer Sciences and Engineering 7.12 (2019): 41-45.

APA Style Citation: Kavita Rathi, (2019). Latest Trends in Image Forgery Detection. International Journal of Computer Sciences and Engineering, 7(12), 41-45.

BibTex Style Citation:
@article{Rathi_2019,
author = {Kavita Rathi},
title = {Latest Trends in Image Forgery Detection},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2019},
volume = {7},
Issue = {12},
month = {12},
year = {2019},
issn = {2347-2693},
pages = {41-45},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4971},
doi = {https://doi.org/10.26438/ijcse/v7i12.4145}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i12.4145}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4971
TI - Latest Trends in Image Forgery Detection
T2 - International Journal of Computer Sciences and Engineering
AU - Kavita Rathi
PY - 2019
DA - 2019/12/31
PB - IJCSE, Indore, INDIA
SP - 41-45
IS - 12
VL - 7
SN - 2347-2693
ER -

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Abstract

Digital image forensic is a part of multimedia security with the objective to expose the image forgery in digital images. Among different types of image forgeries available, copy–move forgery is the most popular and common forgery. In Copy-move forgery one part of the original digital image is copied and pasted at any other position in the same image. Several methods have been developed to detect the image forgery in digital images. This paper is focusing on pixel-based copy–move image forgery detection methods to detect forgery which later on includes the trending algorithms of Key point based techniques and Block based techniques. Various techniques have been mentioned in the paper from the literature which was used by different authors for feature extraction and forgery detection. Comparative study of key point and block based image forgery detection algorithms is also stated.

Key-Words / Index Term

Image Forgery, Block based, Key point based

References

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