基于骨架点分布规律的汉字笔段提取算法  

Chinese-character-stroke-extraction algorithm based on distribution law of skeleton points

作　　者：何浩智[1] 朱宁波[1] 刘伟[1] 

机构地区：[1]湖南大学计算机与通讯学院,长沙410082

出　　处：《计算机工程与应用》2007年第22期83-86,105,共5页Computer Engineering and Applications

摘　　要：提出了一种提取汉字笔段的新方法。从形态学骨架算法生成的骨架点出发,通过分析骨架点的半径分布及不同半径骨架点的位置,发现了笔段提取中产生的毛刺和畸变与骨架点半径之间的规律,进而以此规律为基础提出了一种克服毛刺和畸变的汉字笔段提取方法,最后给出了手写体和印刷体汉字笔段提取的实验结果。实验表明,该方法是行之有效的。A novel method of stroke extraction is proposed.By analysing the position and the amount of skeletion points generated by morphology skeleton algorithm,the relationship is discovered between the radius of skeleton points and the deformation occurring in stroke extracting.From this discovery,the stroke extraction algorithm is developed to overcome deformation and burr.The results from experiment on handwritten Chinese characters and several fonts of printed Chinese characters show that the proposed method is effective and robust.

关 键 词：汉字识别 笔段提取 骨架 细化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]