用于手写体汉字识别的汉字结构模型

针对手写体汉字识别问题，选取笔段和笔划作为基元，分析手写体汉字的组成规律和变形规律，提出了两种汉字结构模型：笔段中心点模型和笔划关系矩阵模型，以及基于模型的分类依据和识别方法．根据所提出的模型，采用两级分类方案构造汉字识别系统，粗分类采用笔段中心点法，细分类采用笔划关系矩阵法．实验表明模型是有效可行的．

Chinese Character Structure Models for Handwritten Chinese Character Recognition

By choosing stroke and sub stroke as basic components to analyse the composition regularities and deformation regularities of handwritten Chinese character, two models are presented for representing the structure for handwritten Chinese character recognition: the sub stroke center model and the stroke relation matrix model, as the classifying criteria and methods based on models. According to the proposed models, a two stage Chinese character recognition system is developed, that applies the sub stroke center model in the first stage and stroke relation matrix model in the second stage. Experimental results show the feasibility and effectiveness of the proposed models.