手写体汉字笔划提取方法。
该算法可对书写工整的汉字进行有效笔划提取。
This algorithm can extract handwritten Chinese characters stroke for formal Chinese characters.
提出一个基于多重曲率计算的角点检测算法，对联机手写汉字识别中的笔划拐点进行提取。
An algorithm for stroke corner detection based on curvature multi-calculation is proposed to extract characteristics for OLCCR (on-line handwritten Chinese character recognition).
提出以计算象素点的方向游程长度为基础，完全基于汉字的结构知识的笔划提取算法。
Put forward the calculation that pixel direction distance length as foundation, the stroke extraction way according to the structure knowledge of Chinese characters completely.
在特征提取方面，给出了汉字结构点，连通体，封闭区域，笔划等特征的提取方法。
Proposed feature extraction methods for structure, connected body, closed area and stroke in Chinese character's feature extraction.
给出了十码汉字编码法的识别码提取算法。在对汉字笔划分解的基础上，根据运用的字符特征给出了识别码的提取算法。
On the basis of resolving to Chinese character stroke, this thesis presents the abstraction algorithm which recognition code used according to the character characteristic.
给出了十码汉字编码法的识别码提取算法。在对汉字笔划分解的基础上，根据运用的字符特征给出了识别码的提取算法。
On the basis of resolving to Chinese character stroke, this thesis presents the abstraction algorithm which recognition code used according to the character characteristic.
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