Detecting fake images using watermarks and support vector machines

Authors:
Wei Lu;Fu-Lai Chung;Hongtao Lu;Kup-Sze Choi
Affiliations:
Department of Computer Science, Sun Yat-sen University, Guangzhou 510275, China and Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200030, China;Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200030, China;Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Venue:
Computer Standards & Interfaces
Year:
2008

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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.