一种新的文字细化算法

被引:5
作者
沈亮
程乾生
机构
[1] 北京大学数学系
关键词
细化; 骨架; 轮廓跟踪; 向量匹配;
D O I
暂无
中图分类号
TP391.4 [模式识别与装置];
学科分类号
0811 ; 081101 ; 081104 ; 1405 ;
摘要
本文提出了一个基于笔画轮廓的文字细化算法,该算法可以很好地消除常用迭代细化算法带来的交叉点畸变等失真现象.文中给出了算法的描述及与其它几种常用算法的比较结果.
引用
收藏
页码:232 / 237
页数:6
相关论文
共 13 条
[1]  
False Stroke Detection and Elimination for Character Recognition. Lu S W,Xu H. Pattern Recognition . 1992
[2]  
SPTA: A proposed algorithm for thinning binary patterns. Naccache N J,Shinghal R. IEEE Transactions on Systems Man and Cybernetics . 1984
[3]  
A thinning algorithm by contour generation. KWOK D C K. Communications of the ACM . 1988
[4]  
kxk thinning. O’ Gorman. L. Computer Vision Graphics and Image Processing . 1990
[5]  
Variable-resolution Character Thinning. Li.X.B,Basu A. Pattern Reconnit Lett . 1991
[6]  
Algorithms for Graphics and Image Processing. Pavlidis T. . 1982
[7]  
A new one-pass parallel thinning algorithm for binary images. Wu R Y,Tsai W H. Pattern Recognition . 1992
[8]  
Sequential operations in digital picture processing. Rosenfeld A,Pfaltz J L. The Journal of The American Medical Association . 1966
[9]  
A fast parallel algorithm for thinning digital patterns. Zhang T Y,Suen C Y. Communications of the ACM . 1984
[10]  
Continuous skeletons from digitized images.J. Montanari U. Association for Computing Machinery . 1969