Digital Image Forgery Detection based on Expectation Maximization Algorithm

Abstract

With the development of high-resolution digital cameras and photographs the probabilities of images and pictures being forged is high as the photographers have the ability to manipulate and forge the images as they desire. This can lead to a misuse of technology as forgery can lead to a maj or crime or difference in important and critical situation or places such as court, hospital and also education system. This project planned to analyses a digital image by mistreatment EM rule. The rule was enforced at intervals MATLAB and run on a sample library of cast and unmodified pictures, including a variety of pictures from Associate in Nursing Multi meddling dataset.