DOI to all article
Articles can be submission online
We Follow Peer Review Process
Call for Papers: Jan/Feb 2023 Issue
Welcome to IJMCR
 

Article Published In Vol.10 (Nov-Dec 2022)

A Survey of Fast and Effective Image Forgery Detection Techniques

Pages : 604-609, DOI: https://doi.org/10.14741/ijmcr/v.10.6.11

Author : Neha Sharma and Pallavi Gupta

Download PDF

One of the most popular manipulations for altering digital photos is forgery. Due to their resistance to a variety of assaults, including large-scale geometric changes, keypoint-based detection techniques have been claimed to be particularly successful in uncovering copy-move evidence. These techniques, however, fall short in situations when copy-move forgeries only involve tiny or smooth areas, where there are few keypoints. We offer a quick and efficient copy-move forgery detection technique using hierarchical feature point matching to address this issue. We first demonstrate that by reducing the contrast threshold and rescaling the input picture, it is feasible to obtain a significant number of keypoints that exist even in tiny or smooth regions. We then create a brand-new hierarchical matching technique to address.

Keywords: Forgery, Hierarchical feature, Smooth regions etc.

Announcements

About IJMCR

All the persons belonging directly or indirectly to Microbiology, Biotechnology, Biochemistry, Virology, Environmental Sciences, Medical and Pharmaceutical Sciences, Food and Nutrition, Botany, Zoology, Mycology, Phycology and Agricultural Sciences.