| 基于HMM的分类器集成方法在脱机手写大写金额识别中的应用 |
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| 引用本文： | 王先梅,杨扬,王宏. 基于HMM的分类器集成方法在脱机手写大写金额识别中的应用[J]. 计算机应用, 2005, 25(12): 2925-2927 |
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| 作者姓名： | 王先梅 杨扬 王宏 |
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| 作者单位： | 北京科技大学电子信息工程系 |
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| 摘 要： | 以脱机手写大写金额为研究对象，对其分别提取归一化小波特征、笔划密度特征和黑像素百分比特征，在分别形成独立的HMM分类器的基础上，将其按照一定的规则进行集成。实验结果表明，该方法能有效提高系统的识别率。
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| 关 键 词： | 无约束手写大写金额识别 HMM 分类器集成 |
| 文章编号： | 1001-9081（2005）12-2925-03 |
| 收稿时间： | 2005-06-24 |
| 修稿时间： | 2005-06-242005-09-03 |
Off-line handwritten amount in words recognition using classifiers combination method based on HMM |
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| WANG Xian-mei,YANG Yang,WANG Hong. Off-line handwritten amount in words recognition using classifiers combination method based on HMM[J]. Journal of Computer Applications, 2005, 25(12): 2925-2927 |
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| Authors: | WANG Xian-mei YANG Yang WANG Hong |
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| Affiliation: | Department of Electronic Information Engineering,University of Science and Technology,Beijing 100083,China |
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| Abstract: | A new combination scheme was proposed. First, three individual classifiers were constructed with normalized wavelet, stroke density and the percentage of the number of black pixels. Then the combination based on different methods was studied. The experiment results show that the proposed approach can achieve high performance. |
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| Keywords: | unconstrained off-line handwritten amount in words HMM classifier combination |
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