| 基于几何形状分析的藏文字符识别 |
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| 引用本文： | 周纬,陈良育,曾振柄.基于几何形状分析的藏文字符识别[J].计算机工程与应用,2012,48(18):201-205. |
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| 作者姓名： | 周纬 陈良育 曾振柄 |
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| 作者单位： | 华东师范大学 软件学院 上海市高可信计算重点实验室，上海 200062 |
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| 基金项目： | 国家自然科学基金，上海自然科学基金，上海市重点学科项目 |
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| 摘 要： | 在分析藏文的几何结构的基础上，提出了一种基于几何形状分析的藏文识别方法。通过对藏文的辅音和元音符号的几何特征提取，达到学习的目的，根据印刷体藏文的组成结构特征，对其进行切分，进而分别对切分结果进行识别，将藏文字符转译为拉丁文，使得即使不认识藏文的人也能“读”藏文。实验结果表明，该方法的正确率达89%以上。
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| 关 键 词： | 文字识别 藏文识别 人工智能 |
Tibetan recognition based on geometric shape analysis |
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| ZHOU Wei
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CHEN Liangyu
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ZENG Zhenbing.Tibetan recognition based on geometric shape analysis[J].Computer Engineering and Applications,2012,48(18):201-205. |
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| Authors: | ZHOU Wei CHEN Liangyu ZENG Zhenbing |
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| Affiliation: | Shanghai Key Lab of Trustworthy Computing, Software Engineering Institute, East China Normal University, Shanghai 200062, China |
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| Abstract: | This paper presents an approach to recognize the Tibetan by analyzing the structure and geometric fea-tures of the Tibetan writing.It lets the system"learn"the geometric features of Tibetan consonant and vowel sym-bols,splits the word on the basis of structures of print Tibetan.The results of the segmentation are used to do the next identification.It converts them to Latin which makes people can"read"Tibetan.The experimental result shows the accuracy of this approach can be over 89%. |
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| Keywords: | character recognition Tibetan recognition artificial intelligence |
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