International Research Journal of Modernization in Engineering Technology and Science 5(5).
ISSN/ISBN: Not available at this time. DOI: 0.56726/IRJMETS38131
Abstract: Image forgery detection has become an important area of research in digital forensics due to the increasing prevalence of image manipulations in various contexts, including journalism, advertising, and social media. In recent years, Benford's Law has emerged as a promising tool for detecting image forgeries by analysing the distribution of the first digits of pixel values. This review paper provides a comprehensive overview of the literature on Benford's Law in image forgery detection, including its applications to various types of image manipulations, such as splicing, copy-move, brightness, and contrast adjustments. The paper also discusses the methodology for applying Benford's Law to image forgery detection and the statistical tests used to evaluate its effectiveness. Additionally, the paper identifies the limitations of the approach and the future research directions in this area. The review concludes that Benford's Law has shown promise as an effective and efficient method for detecting image forgeries and has the potential to become a valuable tool in digital forensics.
Bibtex:
@article{,
year = {2023},
journal = {International Research Journal of Modernization in Engineering Technology and Science},
volume = {5},
number = {5},
author = {Prathamesh Gabhane and Poras Rahangdale and Pranali Raipure and Sahil Shinde and S.C. Rathod},
title = {Analyzing the Effectiveness of Benford's Law in Detecting Image Forgery: A Systematic Review},
doi = {10.56726/IRJMETS38131},
}
Reference Type: Journal Article
Subject Area(s): Computer Science, Image Processing