Method for Detect and Extract Forgery from Images

Due to availability of many image editing and processing tools, it is possible to easily change the information represented by a digital images without leaving any obvious traces of tampering, which led to the problem of verification the image. These issues of multimedia security have led to the development of several approaches to tampering detection. Digital image forensics is the branch that deals with the identity and authenticity of the images. The proposed system is the verification system for images. Where the verification system uses non-blind passive image forensic, and that it has been achieved by using fuzzy gradient based image reconstruction, which is able to detect all type of forgery (Splicing, Image Retouching, Geometrical Transformation, Copy Move Attack, other type) and also able to compute forgery ratio as percentage.

Autorentext

Sabaa Rakan Salim was born in Mosul/Iraq. She completed master degree (computer science ) in University of Technology Baghdad. Now she is working in Isra University college in Baghdad /Iraq.