中文摘要：

现有的Webfont汉字生成方法,需要设计专门的字库,工作量大且灵活性差。针对这一问题,将汉字特征点用字形动态描述库记录,在此基础上提出一种新的Webfont汉字的自动生成方法。研究基于特征点描述的汉字笔画提取、连接和优化方法,并对比基于B样条曲线和贝塞尔曲线的字形优化效果。为方便用户进行个性化字体生成,设计了用户自定义字形优化方法。实验结果证明,基于汉字字形动态描述库,用户无需下载字库,即可以在网页上生成符合自身需求的Webfont汉字。

英文摘要：

Existing Chinese Webfont generation method needs to design a special characters library. It is a heavy workload and the flexibility is poor as well. In order to solve the problem,we recorded the Chinese character feature points with dynamic font description library,and proposed a new automatic Chinese Webfont generation method based on it. We studied the feature points description-based Chinese character strokes extraction,connection and optimisation methods,and compared the optimisation effect of the fonts based on B-spline curve and Bezier curve respectively. In order to facilitate users generating personalised fonts,we designed the user-defined fonts optimisation method. Experimental results showed that for the dynamic font description library based on Chinese characters,users can generate on webpages the Chinese Webfont characters meeting the need of their own without downloading character library.