从汉字结构知识出发，提出了一种从汉字图像直接抽取笔画的算法。
Based on the knowledge of the structure of Chinese characters, an efficient method to extract strokes of Chinese characters directly from the original character image is presented in this paper.
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.
采用过程神经元网络提取手写体汉字各类型笔形，统计各类型笔形和相交点的数量，从而建立手写体汉字特征知识的数据结构表。
The style, number and number of joint and crossover of complex strokes were accumulated, and a kind of characteristic knowledge data-base table of handwritten Chinese characters was constructed.
采用过程神经元网络提取手写体汉字各类型笔形，统计各类型笔形和相交点的数量，从而建立手写体汉字特征知识的数据结构表。
The style, number and number of joint and crossover of complex strokes were accumulated, and a kind of characteristic knowledge data-base table of handwritten Chinese characters was constructed.
应用推荐