copy move forgery image detection
S.Saravana Kumar ,R.Barath ,A.G.Jessy Nirmal
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:3 Year: 05 April,2016 Pages:859-864
Abstract
We propose a method copy move image forgery detection using feature point extraction and morphological operations. The proposed scheme integrates both block-based and key point-based forgery detection methods. First, segments the host image into non-overlapping and irregular blocks adaptively. Then, the feature points are extracted from each block as block features, and the block features are matched with one another to locate the labeled feature points; this procedure can approximately indicate the suspected forgery regions. To detect the forgery regions more accurately, And then merges the neighboring blocks that have similar local color features into the feature blocks to generate the merged regions; finally, it applies the morphological operation to the merged regions to generate the detected forgery regions. The experimental results indicate that the proposed copy-move forgery detection scheme can achieve much better detection results even under various challenging conditions.
Kewords
morphological operation
Reference
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