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汉字复杂指数特征提取技术的实现及其改进

Implementation and amelioration about Chinese feature extraction with complexity index

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【作者】 秦姣华向旭宇

【Author】 QIN Jiao-hua,XIANG Xu-yu(Department of Mathematics and Computing Sciences,Hunan City University,Yiyang 413000,China)

【机构】 湖南城市学院数学与计算科学系湖南城市学院数学与计算科学系 湖南益阳413000湖南益阳413000

【摘要】 汉字识别的理论和技术经历多年的发展之后,取得了许多重大进展,但已有的研究成果还不能彻底解决所有的问题,在理论和技术上都有待进一步的研究与发展。汉字识别的关键技术在于特征提取。介绍了用复杂指数实现汉字特征提取技术的方法,并通过对现有复杂指数特征提取技术的深入研究,分析其在特征提取上存在的问题,有针对性地对复杂指数特征提取技术进行了相应的改进,并给出了两种改进的稳定性好、分类能力强的复杂指数特征提取算法。

【Abstract】 Having been developed for many years,the theories and technologies of Chinese character recognition(CCR) have advanced greatly but those achievements are far from the solution to all problems in CCR so,farther research and development in both of them must be made.The most important technology of CCR is how to get the Chinese character’s features.The methods to get Chinese com-plexity index feature were introduced,and the existent question about current Chinese complexity index feature was analyzed,after more research about Chinese complexity index feature were made.Then,the technology of Chinese complexity index feature extraction was put up according to amelioration.At the same time,two ameliorated algorithms with good stablily and classification for Chinese com-plexity index feature extraction were proposed.

【基金】 湖南省教育厅科研基金项目(03A011);湖南省教育厅科研基金项目(05C778)
  • 【文献出处】 计算机工程与设计 ,Computer Engineering and Design , 编辑部邮箱 ,2006年02期
  • 【分类号】TP391.43
  • 【被引频次】12
  • 【下载频次】162
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