Efficient and Fast Copy Move Image Forgery Detection Technique

Nowadays, it is very easy to manipulate digital images in a skilful manner. Image processing systems are creating rapid pace and utilization of these strategies is likewise expanding day by day. Therefore, picture verification has turned out to be very difficult task due to the misuse of these systems. Copy-move forgery is the most widely recognized picture altering method in which some part of a picture is replicated and is stuck on other part of the same picture to hide or replicate some portion of image. Hence, police force and forensic expert require furthermore, productive method for recognizing duplicate move fabrication. In this paper a passive method is used to detect copy move forgery detection. Firstly forged image is divided into overlapping blocks followed by extraction of features using KPCA (kernel principal component analysis) then lexicographically sort these features. By indentifying the similar block in an image replicated image blocks are discovered. Experiment outcome exhibit that the planned strategy can precisely find the copied areas, even when images are crooked by translation including rotation by limited angels, shading diminishment, and changes of brightness. The proposed method gives good result by increasing precision, accuracy, and specificity and lesser degree of false detection and time required for detecting copy move forgery than original method which uses the histogram of gradient(HOG) technique for feature extraction.