As result of powerful image processing tools, digital image forgeries have already become a serious social problem. In this paper we describe an effective method to detect Copy-Move forgery in digital images. This method works by first extracting SIFT descriptors of an image, which are invariant to changes in illumination, rotation, scaling etc. Owing to the similarity between pasted region and copied region, descriptors are then matched between each other to seek for any possible forgery in images. Experiments have been performed to demonstrate the efficiency of this method on different forgeries and quantify its robustness and sensitivity to post image processing, such as additive noise and lossy JPEG compression etc, or even compound processing.

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Workflow management systems have been applied in enterprises for many years in collaborative environment to assist individuals or organizations to carry out tasks automatically and effectively. As market requirements are developing rapidly, the enterprises now find the traditional workflow management system under such rapid circumstances difficult to copy with changes in the market both promptly and flexibly. The inflexibility of traditional workflow model has cumbered the development of enterprises. Introducing SOA technology to current workflow management systems, we propose a serviceoriented workflow model to solve the problem mentioned above. Based on this framework, this paper also discusses how decentralized process enactment, and dynamic process adaptation can be achieved. It can improve flexibility, scalability, and interoperability and the proposed workflow management system can cooperate with other systems and enterprise applications more effectively.

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