Enhancing Image Forgery Detection: A Novel Method for Content-Preserving Forgeries using Machine Learning Algorithms

Improving Accuracy and Reliability of Image Forgery Detection using Machine Learning

Abstract

Digital image forgery has become a significant concern due to the ease of manipulating anddistributing digital media. Content-preserving forgeries are particularly challenging to detect, as theymaintain the visual integrity of the original image while altering its content. In this research paper, wepropose a novel image forgery detection method that combines Support Vector Machines (SVM),Convolutional Neural Networks (CNN), and ensemble classifiers to enhance the accuracy and reliabilityof forgery detection.