摘要
提出一种基于特征点的矢量地图水印算法。在嵌入水印信息前,采用Torus自同构映射对水印图像进行置乱处理,将矢量地图分割为指定数量顶点的曲线集合,选择曲线中角度最小的顶点作为特征点,在地图精度允许的范围内,通过改变该特征点的坐标值,将制作的水印图像重复嵌入到这些特征点中。实验结果表明,该算法不仅能获得较好的地图精度,且对压缩攻击和各种裁剪攻击也具有较强的鲁棒性。
In this paper, a watermark algorithm for vector map based on feature point is proposed. Before watermark bit is emedded, it is scrambled by Torus automorphic map. The curves are divided into a specified number of vertex set curves to define the feature point of the curves by the minimum angle of this curve. In the range of map precision allowing, by means of changing the feature point coordinates to manufacture the watermark image repeatedly embedded into the feature points. Experimental results show that this algorithm not only can assure a good map precision, but also has a good robustness under clipping and compressing attacks.
出处
《计算机工程》
CAS
CSCD
2012年第4期134-136,139,共4页
Computer Engineering
基金
国家自然科学基金资助项目(60842007)
广东省科技创新百项工程基金资助项目(2002B32101)
广东省重点引导基金资助项目(2004B32501001
2005B30801006)
关键词
矢量地图
水印
曲线分割
特征点
鲁棒性
vector map
watermark
curve partition
feature point
robustness
