一种现代藏文笔段提取算法  

A Stroke Segment Extraction Algorithm for Tibetan Character Recognition

作　　者：王浩军[1] 赵南元[1] 邓钢轶[1] 

机构地区：[1]清华大学自动化系,北京100084

出　　处：《中文信息学报》2001年第4期41-46,52,共7页Journal of Chinese Information Processing

摘　　要：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 。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 bychain 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.

关 键 词：文字识别 藏文识别 笔段提取 轮廓信息 几何特征 拓扑结构 特征点 

分 类 号：TP391.43[自动化与计算机技术—计算机应用技术]