An Innovative Feature Point Matching For Dynamic I.F.D

Abstract

This paper proposes for Image forgery detection using adaptive over segmentation and feature point matching. In forgery detection method block based and key points integrates scheme are proposed. Initially, the proposed adaptive over segmentation algorithm segments the host image into non-overlapping and irregular blocks adaptively. The feature points are extracted from each block as block features. The block features are compared with one another for locating the labeled feature points. This procedure can approximately specify the suspected forgery regions. To detect the forgery regions more accurately and efficiently, the forgery region extraction algorithm, replaces the feature points with small super pixels as feature blocks and then merges the neighboring blocks that have similar local color features into the feature blocks to generate the merged regions.