Detection of Forgery Part in Forgery Image Using Color Intensity
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2016, Vol 3, Issue 2
Abstract
Since many decade’s photographs have been used to document space time events and they have often served as evidence in courts. This process is very time consuming and requires expect knowledge, although photographers are able to create composite of analog pictures. Powerful digital image editing software makes images modifications straightforward. Questions pictures as evidence for real world events, this undermines our trust in photographs and in particular. Image composition or splicing is a one of the most common forms of photographic manipulation. In the color of the illumination of images, we propose a forgery detection method that exploits subtle inconsistencies. Our approach is machine learning based and requires minimal user interaction. No expert interaction for the tampering decision, the technique is applicable to images containing two or more people. On image regions of similar material, to achieve this we incorporate information from physics and statistical based illuminant estimators. We extract texture and edge based features which are then provided to a machine learning approach for automatic decision making. The classification performance using an SVM meta-fusion classifier is promising. It yields detection rates of 86% on a new benchmark dataset consisting of 200 images, and83% on 50 images that were collected from the Internet.
Authors and Affiliations
Ms Kopulkar Shital Rangnath
Keywords
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