Image inconsistency detection using histogram of orientated gradient (HOG)

Today there are various types of image editing tools which make totally changes in image with free of cost, Image has performed a significant role in Human life but image has easily fiddle using image processing software. Fiddle image has difficult to detect that it is original or not for this reasons the image forgery detection topic is active research work nowadays. The proposed of this paper to detect image inconsistency using Histogram of Orientated Gradient (HOG) method which help us to determining which block has manipulation of an images. The paper conducting with many stages namely acquisition, preprocessing, and feature extraction and matching the performance of this system are based on false accepted rate (FAR) and false reject rate (FRR).