This paper is published in Volume-6, Issue-1, 2020
Area
Electronics and Communication Engineering
Author
Sharika Ahad
Co-authors
Sunil K. Panjeta
Org/Univ
Yamuna Institute of Engineering and Technology, Yamunanagar, Haryana, India
Pub. Date
18 March, 2020
Paper ID
V6I1-1300
Publisher
Keywords
Copy, Optimization, Blocks Features

Citationsacebook

IEEE
Sharika Ahad, Sunil K. Panjeta. Review on copy move forgery image detection and classification, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sharika Ahad, Sunil K. Panjeta (2020). Review on copy move forgery image detection and classification. International Journal of Advance Research, Ideas and Innovations in Technology, 6(1) www.IJARIIT.com.

MLA
Sharika Ahad, Sunil K. Panjeta. "Review on copy move forgery image detection and classification." International Journal of Advance Research, Ideas and Innovations in Technology 6.1 (2020). www.IJARIIT.com.

Abstract

Digital image is an essential part of today’s everybody life. We use digital images in various fields like social networking sites, e-commerce companies, jobs, courtrooms, academics, insurance fields etc. Any unauthorized person can easily make changes in anybody digital image and use it in place of authorized person and takes benefits. To identify the original and tampered digital images we need some detection techniques to recognize the image is actual or tampered.
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