针对藏文字符笔段的几何特征和拓扑结构,本文提出了一种基于字符轮廓信息的藏文笔段提取算法:通过链码跟踪的方法得到笔段轮廓的点列,然后从点列中提取特征点并利用特征点切分出笔段,最后用笔段的轮廓线代替骨架线来表征藏文的笔段。本算法用于印刷体藏文笔段提取,取得了良好的效果,避免了传统细化算法所造成的畸变,提高了笔段提取的抗干扰能力,并减小了计算量,加快了特征提取的速度。

A stroke segment extraction algorithm for Tibetan character is presented in this paper. Based on the geometrical features and topology structures of Tibetan character ,this method successfully utilizes contour information to extract stroke segments of Tibetan characters. First contour points are extracted by chain code following ,then feature points are detected and used to separate strokes ,finally contour lines are used to represent strokes instead of skeleton lines. Experimental results show that the proposed algorithm can correctly extract the strokes of printed Tibetan character on the human perception. In additional ,compared with methods based on thinning algorithm ,the proposed algorithm is more robust and faster.