文中对汉字识别的结构分析法和模板配比法作了较深入的阐述。
In this, structural analytical method and matching pattern method of chinese character's recognition are penetrably disserted.
通过对神经网络集成的理论分析，提出了一种多级神经网络结构的手写体汉字识别模型。
By analyzing the theory of neural network integration, I developed a multi-level neural network model for recognition handwritten Chinese characters.
在实现结构分析法识别手写汉字时，笔划抽取是关键所在。
In developing handprinted Chinese characters recognition system by the structural approach. the stroke extraction is all important problem.
应用推荐