| 一种基于多级分类的西夏文字识别算法 |
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| 引用本文： | 门光福. 一种基于多级分类的西夏文字识别算法[J]. 高师理科学刊, 2010, 30(4): 44-47. DOI: 10.3969/j.issn.1007-9831.2010.04.015 |
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| 作者姓名： | 门光福 |
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| 作者单位： | 宁夏大学,数学计算机学院,宁夏,银川,750021 |
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| 基金项目： | 国家自然科学基金资助项目，宁夏大学自然科学基金项目 |
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| 摘 要： | 字符识别是模式识别领域的一个传统课题,汉字和古文字的识别是中文信息处理领域的一个重要研究课题.采用了一种多级分类的方法对印刷体西夏文字进行识别,在6000余西夏文字中随机选取300字做测试,平均识别速度达63字/s,识别率可达到89%以上,对西夏文献中的西夏文字的识别奠定了基础.
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| 关 键 词： | 西夏字 OCR 多级分类 |
An algorithm for xixia characters recognition based on multi-stages classification |
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| MEN Guang-fu. An algorithm for xixia characters recognition based on multi-stages classification[J]. Journal of Science of Teachers＇College and University, 2010, 30(4): 44-47. DOI: 10.3969/j.issn.1007-9831.2010.04.015 |
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| Authors: | MEN Guang-fu |
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| Affiliation: | MEN Guang-fu(School of Mathematics and Computer Science,Ningxia University,Yinchuan 750021,China) |
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| Abstract: | The characters recognition is a conventional project of model recognition domain.Both chinese characters and ancient characters recognition are an important project.A multi-stages classification for machine printed xixia characters is proposed,and the experiment is used to show the recognition speed and rate can reach 63 word per second,89 percent.The investigation has built a solid theory foundation for the research and development of xixia characters recognition in xixia documents. |
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| Keywords: | OCR |
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