Watermark Detection of Vector Curves Using SVM Classification Fusion Method
多矢量曲线水印检测的SVM分类融合方法

In order to protect the copyright of the vector graphics,in this paper we introduce a fusion rule for watermark detection of vector curves using SVM classification. At the embedding stage,the watermarks are embedded into multi vector curves with the same key. At the detecting stage,firstly,the watermarks are detected using the embedded key then a eigenvector is obtained which is created by detection correlative values in a certain order. Finally the SVM classification can determine whether those curves have the watermarks that embedded with a right key. The study samples of SVM classification are imitating all kinds of eigenvector,which are detected from the attacked and transformed curves. Essentially it is a fusion rule of multi related values,which based on the SVM classification. Theoretical analysis and simulation results prove it is feasible and effective.