An ownership verification scheme by using image pinned field and genetic algorithm

Authors:
Mn-Ta Lee;Hsuan-Ting Chang;Mu-Liang Wang
Affiliations:
Department of Electronic Engineering, Kao Yuan University, Kaohsiung County, Taiwan;Department of Electrical Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan;Department of Computer Science and Information Engineering, Shu-Te University, Kaohsiung County, Taiwan
Venue:
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
Year:
2010

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Abstract

As a result of explosive development of the Internet, digital contents can be convenient and fast exchanged on the Internet. Hence, how to protect important digital contents from being stolen or modified has become an important issue. In this paper, an optimal ownership verification scheme for image contents based on using both the pinned field of the protected image and the genetic algorithm is proposed. The pinned field explores the texture information of the protected image and can be used to enhance the robustness of the watermark. The genetic algorithm is then used to optimize the similarity between the texture information and the protected image. Experimental results show that the proposed scheme can survive under different signal processing and geometric transformation attacks.