A novel keypoint based forgery detection method based on local phase quantization and SIFT

Increase on the availability of the image editing software makes digital image forgery serious problem. Researchers proposed methods to cope with image authentication in recent years. We proposed a novel keypoint based passive image authentication technique to determine the copy move forgery. The method extracts the structural texture information from the test image by using LPQ (Local Phase Quantization) operator to make the keypoint extraction techniques more successful. SIFT is used extract the keypoints from texture image. Forged regions are detected by matching the keypoints. The method also improves the keypoint based passive image authentication mechanism by extraction texture information before keypoint extraction. Experimental results show that, the method detects forged regions on the images even if the forged image has undergone some attacks (Gaussian blurring/Additive White Gaussian Noise and jpeg compression).