Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16079
Title: Detecting fake images using watermarks and support vector machines
Authors: Lu, W
Chung, FL 
Lu, H
Choi, KS 
Keywords: Fake image detection
Support vector machines
Watermarks
Issue Date: 2008
Publisher: Elsevier Science Bv
Source: Computer standards and interfaces, 2008, v. 30, no. 3, p. 132-136 How to cite?
Journal: Computer Standards and Interfaces 
Abstract: With the great convenience of computer graphics and digital imaging, it becomes much easier to alter the content of images than before without any visually traces to catch these manipulations, i.e., many fake images are produced whose content is feigned. Thus, the images can not be judged whether they are real or not visually. In order to detect fake images, this paper proposes a detection scheme, which, firstly, uses watermarks to locate the alteration, and then, uses support vector machine (SVM) as a classifier to make a binary decision on whether an image is fake or real. The experimental results also demonstrated the effectiveness of the proposed scheme.
URI: http://hdl.handle.net/10397/16079
DOI: 10.1016/j.csi.2007.08.002
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