| 基于微结构特征的维吾尔文笔迹鉴别 |
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| 引用本文： | 沈洁,卡米力·木依丁,张韦煜.基于微结构特征的维吾尔文笔迹鉴别[J].计算机工程,2012,38(24):175-178. |
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| 作者姓名： | 沈洁 卡米力·木依丁 张韦煜 |
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| 作者单位： | 新疆大学信息科学与工程学院,乌鲁木齐,830046 |
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| 基金项目： | 国家自然科学基金资助项目，新疆少数民族科技人才特殊培养计划基金资助项目 |
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| 摘 要： | 对离线的文本无关的笔迹鉴别进行研究，结合维吾尔文文字连写多、字形复杂等特点，采用基于概率分布函数的微结构特征笔迹鉴别，提出一种维吾尔文的笔迹鉴别方法。该方法对笔迹中局部细微结构的书写变化趋势进行描述，运用欧氏距离和Manhattan距离度量方法进行笔迹特征匹配。对120份维吾尔族学生的笔迹样本进行测试，结果表明，该方法能有效提高维吾尔文笔迹鉴别的正确率。
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| 关 键 词： | 维吾尔文 笔迹鉴别 文本无关 微结构特征 欧氏距离 Manhattan距离 |
| 收稿时间： | 2011-09-08 |
| 修稿时间： | 2011-11-01 |
Uighur Handwriting Identification Based on Microstructure Feature |
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| SHEN Jie
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KAMIL·Moydi
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ZHANG Wei-yu.Uighur Handwriting Identification Based on Microstructure Feature[J].Computer Engineering,2012,38(24):175-178. |
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| Authors: | SHEN Jie KAMIL·Moydi ZHANG Wei-yu |
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| Affiliation: | (College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China) |
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| Abstract: | According to the offline and text independent writer identification research, combining with the Uighur text connections and complex glyph characteristics, this paper uses microstructure feature handwriting identification method based on probability distribution function to realize Uighur handwriting identification. The method depicts the writing trend of local fine structures in handwritings and uses Euclidean distance and Manhattan distance metrics to measure the similarity between handwritings. The handwriting samples of 120 Uyghur nationality students are tested. Results show that the method can improve the correctness of Uighur handwriting identification. |
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| Keywords: | Uighur handwriting identification text independent microstructure feature Euclidean distance Manhattan distance |
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