节点文献
用特征向量元素模糊分类的手写汉字识别
RECOGNIZING HANDWRITING HANZI (CHINESE CHARACTER) BY FEATURE VECTOR ELEMENT FUZZY CLASSIFICATION
【摘要】 本文介绍了一个用特征向量元素模糊分类的手写汉字识别系统。系统在预处理时采用字心中心法,一级分类用笔道密度函数特征的向量元素模糊方法分类,详细识别用外廓方向贡献度特征。系统实验表明本识别方法是有效的。
【Abstract】 In this paper, a recognition method of handwriting Hanzi (Chinese Character) is presented. Preprocessing character pattern system creats a character core centre method. In first classification, the feature vector element fuzzy classification is used to class the characters. Recognizing system in detail makes use of peripheral direction contributivity feature. The experiment result shows that the system and method is effective.
【关键词】 字心中心;
笔道密度函数;
向量元素模糊分类;
文字识别;
【Key words】 Character core centre; stroke density function; vector element fuzzy classification; character recognition.;
【Key words】 Character core centre; stroke density function; vector element fuzzy classification; character recognition.;
- 【文献出处】 计算机应用与软件 ,Computer Applications and Software , 编辑部邮箱 ,1995年04期
- 【分类号】TP391.41
- 【下载频次】68