A Passive Image Forgery Detection Technique

The digital image is the main source of communication in the current scenario. The digital images are miscommunicated by using various image manipulation software. The digital images are altered in such a way that it is difficult to understand the originality of the contents. The proposed system addresses a passive approach to image forgery detection. In this system first, the input image is partitioned into blocks. Then various features are extracted from each block like energy, entropy, contrast, homogeneity, mean, standard deviation and variance then store it to the knowledge base. Next each block features are compared with knowledge base. The proposed system identifies original and forged images accurately. The result of experiment is much better than the existing techniques.