Analysis of Image Forgery Detection Using Canny Edge Detector

As now-a-days many image processing software and editing tools are available using which image can be easily faked. In various fields digital images are used as legal evidence, for forensics investigations,, so there is need of making such system that can detect image forgery. The passive approach of image forgery detection provides image authencity without having any information about the digital image. Further in this paper we have discussed various forgery techniques which were used for creating forgeries in the digital picture. We proposed an optimized method that can detect the forgery in the image using k-means and feature matching algorithm which uses canny edge detector. It gives recall between 85 to 95% and precision 100%.We run this system over two datasets.