| 组合特征的联机手写维吾尔字母识别 |
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| 引用本文： | 祖丽菲亚·卡哈尔,玛依热·依布拉音,艾斯卡尔·艾木都拉,地里木拉提·吐尔逊.组合特征的联机手写维吾尔字母识别[J].通信技术,2013(5):95-97. |
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| 作者姓名： | 祖丽菲亚·卡哈尔 玛依热·依布拉音 艾斯卡尔·艾木都拉 地里木拉提·吐尔逊 |
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| 作者单位： | 新疆大学 信息科学与工程学院,新疆 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（批准号：61263038）;国家科技支撑计划（No.2009BAH41B03）,教育部新世纪优秀人才支持计划资助项目（No.NCET-10-0969）. |
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| 摘 要： | 通过分析维吾尔文字母自身的书写特点，为了进一步提高识别率，在原先的外围轮廓特征基础上，再提取了附加笔划形状特征、字母上下左右密度比例特征、笔画数特征以及主体部分和附加部分的位置关系特征，进行了诸多特征有效组合下的字母识别实验。其中，最高识别率达到了75．7％，比原先在单个特征下的识别率提高了近10个百分点。这表明，不同特征的有效组合是可行的，而且具有继续研究的潜力。
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| 关 键 词： | 维吾尔字母 联机手写识别 附加笔划形状特征 外围轮廓特征 字母上下左右密度比例特征 |
On-line Handwritten Uyghur Character Recognition based on Combined Features |
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| Affiliation: | ZULPIYA Kahar, MAYIRE Ibrayim, ASKAR Hamdulla, DILMURAT Tursun (Institute of Information Science and Engineering, Xinjiang University, Urumqi Xinjiang 830046, China) |
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| Abstract: | The writing feature of Uyghur character is analyzed, and based on original peripheral contour feature, more features are extracted, including the shape feature of additional strokes, feature of bottom-up and left-right density ratio, stroke number feature, and location feature of additional part for Uyghur characters, thus to further improve the recognition rate. Meanwhile, several recognition experiments on the above features alone and their various combinations are also done. The highest recognition rate reaches 75.7%, and as compared with that under the original individual feature, the recognition rate is increased by lO%.This shows that the effective combination of different features is feasible, and has the potential for further study. |
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| Keywords: | Uyghur characters on-line handwriting shape feature of additional stroke peripheral contour feature feature of bottom-up and left-right density ratio |
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