| 手写汉语拼音的融合识别系统 |
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| 引用本文： | 朱萌,刘长松,陈御天,邹燕明. 手写汉语拼音的融合识别系统[J]. 计算机工程, 2010, 36(7): 170-172 |
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| 作者姓名： | 朱萌 刘长松 陈御天 邹燕明 |
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| 作者单位： | 1. 清华大学智能技术与系统国家重点实验室,北京,100084;清华大学电子工程系清华信息科学与技术国家实验室,北京,100084
2. 诺基亚北京研究院,北京,100176 |
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| 基金项目： | 国家“973”计划基金资助项目(2007CB311004);;国家自然科学基金资助项目(60772049) |
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| 摘 要： | 手写设备用户容易忘记特定中文单字写法，需要为其提供拼音输入法。采用分类器融合方式构筑拼音单词识别系统，通过隐马尔可夫模型分类器获得拼音单词的切分点，利用统计特征识别模块进行识别后融合，研究并改进拼音单词基线提取方法。实验结果表明，该方法对17 745个测试样本的识别率达91.37%。
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| 关 键 词： | 中文信息处理 字符识别 基线 |
| 修稿时间： | |
Combined Recognition System for Handwritten Pinyin |
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| ZHU Meng,LIU Chang-song,CHEN Yu-tian,ZOU Yan-ming. Combined Recognition System for Handwritten Pinyin[J]. Computer Engineering, 2010, 36(7): 170-172 |
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| Authors: | ZHU Meng LIU Chang-song CHEN Yu-tian ZOU Yan-ming |
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| Affiliation: | (1. State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing 100084; 2. Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084; 3. Nokia Research Center, Beijing 100176) |
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| Abstract: | Handwritten device users are easy to forget how to write a certain Chinese character. It is necessary to provide Pinyin input method for them. This paper constructs a Pinyin word recognition system through classifier fusion style. It obtains the cutting point of Pinyin word by Hidden Markov Model(HMM) classifier, accomplishes after-recognition fusion by using recognition module for statistic characteristic, studies and improves the base line extraction method for Pinyin word. Experimental results show that this method can recognize 91.37% test samples from 17 745 ones. |
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| Keywords: | Chinese information processing character recognition base line |
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