Detection of Copy Move Image Forgery on Digital Images by Feature Extraction and Analysis

This project is worked on for forensic purpose. As nowadays digital images are easy to manipulate and edit due to availability of powerful image processing and editing software. So, it is possible to add or remove important features from an image without leaving any obvious traces of tampering. Therefore the need for authenticating digital images, validating their content is also increasing. In this paper we are studying the techniques through which the forging on digital images can be detected and the one forgery that we will be primarily covering is the copy move image tampering. The copy-move attack is in which a part of the image is copied and pasted somewhere else in the image with the intent to cover an important image feature or to cancel something that was awkward. We are working on this project with the approach that allows us to understand if a copy-move attack on the image has occurred and which are the image points involved, and to recover which has been the geometric transformation happened to perform manipulation or cloning, by computing the transformation parameters. When a copy-move attack takes place, usually a transformation is applied to the image patch selected to fit in a specified position according to that context. The technique will able to precisely point out the altered area and, in addition to estimate the geometric transformation parameters with high reliability.