Rotation Invariant Copy Move Forgery Detection Using Fast Fourier Transformation Method

Abstract

Image processing is a framework which is used to enhance raw images which are gotten from cameras, sensors set on satellites and air make. Digital images are manipulated by applying forgeries such as image retouching, image splicing and copy-move forgery attacks. To detect such forgeries various techniques are proposed that includes active and passive approaches. There are numerous current strategies or methodologies used to identify the forgery in an image however this gives less precise outcomes. The proposed work here manages image forgery identification utilizing rotation invariant system with blur-invariant copy-move forgery detection. The proposed mechanism firstly rotates the inbuilt object of an image and after that partitions the picture into little squares. After dividing the image, fast fourier transformation is connected and afterward recognized. The simulations are performed in MATLAB device. The technique is more precise and gives accurate rate between 95% to 100%.