摘要
提出了一种基于游程编码(run length encoding)的手写体汉字细化和分割快速算法。数据的输入与处理并行,汉字图象数据所占存贮空间仅为点阵方式的1/400。能将任何复杂汉字细化并分割为简单直线和弧线笔划。对汉字的结构特征抽取极为有利。此外,本文还提出一种新的边沿描述基段链码,其平均长度比Freeman链码短20％。
The paper proposes a quick thinning and segmentation algorithm for hand-printed Chinese characters going on simultaneously. The memory space occupied by the character image data is only one four hundredth of that by the normal character matrix. Any hand-printed Chinese characer can be thinned and segmented into several simple lines,are and corner strokes. It is very efficient for structual feature extraction for Chinese characters. A new chain code for edge description is also proposed, whose average chain code length is about 20% less than that of Freeman chain code.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
1991年第4期78-85,共8页
Journal of Chongqing University
关键词
汉字识别
细化分割算法
计算机
Chinese character recognition
Segmentating
Smoothing/Contour tracing
Chain code
Thinning
