节点文献
基于学习和理解的手写汉字识别方法
A Machine Learning and Natural Language Understanding Based Approach to Chinese Character Recognition
【摘要】 本文分析了手写体汉字识别各环节遇到的困难,及现有特征提取方法的不足,提出了一种新的特征抽取方法一四角号码法并进行了一系列实验,实验结果证明了该方法的可行性。
【Abstract】 The difficulties and limitations in current research of hand printed Chinese characterare analyzed,and a new approach based on machine learning and natural language under-standing is presented.With four-angles of Chinese characters as features and with the strategyof learning from examples,the primitive recognition rules can be induced from large number ofsamples,hence the limitation of hand-made primitive model can be avoied.The experiment re-sults show the feasibility of the present approach.
【关键词】 人工智能;
模式识别;
特征提取;
自然语言理解;
【Key words】 Artificial intellegence; pattern recognition; feature abstraction; natural language understanding;
【Key words】 Artificial intellegence; pattern recognition; feature abstraction; natural language understanding;
- 【文献出处】 哈尔滨工业大学学报 ,Journal of Harbin Institute of Technology , 编辑部邮箱 ,1993年04期
- 【分类号】TP391.4;
- 【被引频次】6
- 【下载频次】65