Effective Detection of Copy Move Forgery Using Surf

Copy move forgery is a technique for altering digital images by copying and pasting contents from the original image into different parts of the same image. It is of great importance to detect tampering as the credibility of digital images are being lost. Keypoint based methods proved to be efficient in localizingforgery. The proposed method uses SURF for feature extractionand improved forgery localization method for efficiently localizing forgery. Finally, comparison with the existing keypoint based methods to prove the efficiency of forgery localization in digital images. The tampered image is displayed as binary image for better understanding. The proposed methods efficiently localize forgery even if the tampered region is rescaled, rotated or blurred. The performance is validated by TPR, FPR and F1 score and comparing the same with the existing methods.