A fast and effective digital image copy move forgery detection with binarized SIFT

Abstract

With the widespread use of digital images almost every field so authentication of them has become increasingly important. So researchers proposed various methods to cope with this issue recently. We proposed a new fast and effective method to cope with the digital image copy move forgery. In this method the keypoints and their descriptors are extracted from the input image by using Scale Invariant Feature Transform (SIFT) algorithm. For faster matching, the descriptor vectors are binarized 128 dimension to 128 bit and their hashing value are calculated. Then forged regions are detected by matching binarized descriptors with the same hash value. According to experimental results, the method detects forged regions on the images even if the forged image has undergone some post processing and preprocessing attacks.