International Journal of Creative research Thoughts 9(6), pp. h202-h208.
ISSN/ISBN: Not available at this time. DOI: Not available at this time.
Abstract: Benford's law is known as a 'first digit law', 'digit analysis' or 'Benford-Newcomb phenomenon'.This paper presents a generalization of Benford’s law for analysing the first significant digit in images. It studies this law’s application in the aspects of digital image modification or fraud detection. Also, it established the results for edited as well as non- edited images. The amount of deviation from the actual Benford's curve is used as an approximate indicator of forgery. This paper uses Benford’s law to analyze two real world examples of Benford's law's applications. They include firstly an image modification detection such as adding a filter to an image and secondly fraud banknote authentication. The results are plotted onto a graph by calculating the frequency of the first significant digit to check the deviation from the original Benford’s curve, this shows any fraudulent data which may be present in the database.
Bibtex:
@article{,
author = {Mihika Bodke and Devyani Mishra and Kavan Vasani and Juhi Janjua},
title = {Analysis of Benford’s Law for Image Processing},
year = {2021},
journal = {International Journal of Creative Research Thoughts},
volume = {9},
issue = {6},
pages = {h202--h208},
url = {https://www.ijcrt.org/papers/IJCRT2106855.pdf},
}
Reference Type: Journal Article
Subject Area(s): Image Processing