| 基于学习和理解的手写汉字识别方法 |
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| 引用本文： | 刘庆波. 基于学习和理解的手写汉字识别方法[J]. 哈尔滨工业大学学报, 1993, 25(4): 25-29 |
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| 作者姓名： | 刘庆波 |
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| 作者单位： | 哈尔滨工业大学计算机科学与工程系 博士生 |
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| 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。
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| 关 键 词： | 人工智能 模式识别 汉字识别 |
A Machine Learning and Natural Language Understanding Based Approach to Chinese Character Recognition |
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| Liu Qingbo. A Machine Learning and Natural Language Understanding Based Approach to Chinese Character Recognition[J]. Journal of Harbin Institute of Technology, 1993, 25(4): 25-29 |
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| Authors: | Liu Qingbo |
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| Affiliation: | Dept.of Computer Science and Engineering |
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| 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. |
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| Keywords: | Artificial intellegence pattern recognition feature abstraction natural language understanding |
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