Combined with the edge information, we can define how to segment the character images based on segmentation lines.
利用边界信息最后确定分割线来对字符进行形状分割。
This paper takes stroke segment as pattern primitive to represent the structure information of Chinese character. On the basis, a new algorithm to recognize handwritten Chinese character is proposed.
以笔划为基元结合笔划的顺序来表示汉字的结构信息，在此基础上提出了一种手写汉字识别的匹配算法。
This method build a dictionary library that take the strokes and stroke segment as the index parameters by making use of the stroke segment and chain code character;
该方法借鉴笔段链码特征，建立以笔画一笔段数目作为检索参数的字典库；
An algorithm for stroke segment extraction directly from Chinese character dot matrix is presented. It avoids the process of thining.
本文提出了从汉字点阵中直接抽取笔划特征的新算法，省去了细化过程。
The methods of Character Segment and Character Recognition are basing on projecting image and BP network respectively, which are both classical methods.
字符分割和识别分别采用经典的基于投影图的方法和BP神经网络的方法，并针对实际情况对这些经典方法进行了改进。
The methods of Character Segment and Character Recognition are basing on projecting image and BP network respectively, which are both classical methods.
字符分割和识别分别采用经典的基于投影图的方法和BP神经网络的方法，并针对实际情况对这些经典方法进行了改进。
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