| 手写汉字识别粗分类方法的研究 |
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| 引用本文： | 崔怀林,赵树芗.手写汉字识别粗分类方法的研究[J].电子科技大学学报(社会科学版),1996(3). |
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| 作者姓名： | 崔怀林 赵树芗 |
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| 作者单位： | 陕西工学院电子工程系，西安电子科技大学计算机系 |
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| 摘 要： | 提出了一种基于汉字结构关系的手写汉字识到粗分类的新方法。该方法以抽取手写汉字基本笔划为基础，利用汉字的结构特征进行粗分类。它不仅算法简单、分类速度快、分类能力强、分类稳定、可靠，而且在分类的同时又能把组成汉字的部件及其笔划随之而分离出来，为用句法结构方法识别手写汉字奠定了基础。这种方法成功地用于在ＰＣ／ＡＴ机上实现的成页手写体（楷书）汉字识别系统中，效果满意。
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| 关 键 词： | 特征提取 汉字分类 汉字识别 手写体 |
Research on Preliminary Classification of Handprinted Chinese Character Recognition |
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| Cui Huailin.Research on Preliminary Classification of Handprinted Chinese Character Recognition[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),1996(3). |
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| Authors: | Cui Huailin |
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| Abstract: | A new preliminary classification method based on the structural relation of Chinese characters for handprinted Chinese character recognition is presented. The method is based on the extraction strokes of handprinted Chinese characters and makes use of information of the strokes' terminal coordinates to classify handprinted Chinese characters according to its structural relation. It is characterized not only by a simple algorithm and a powerful, fast, stable and reliable classification. but also seperates the components of the Chinese characters while they are being classified. It can build a strong foundation for Chinese character recognition by syntax structural method. Now,it has been successfully used in handprinted Chinese character system based on PC/AT computer with satisfactory results. |
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| Keywords: | feature extraction Chinese character classification Chinese character recognition handprinted |
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