| 运用反例基于识别的手写数字串分割 |
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| 引用本文： | 宋婉娟,董才林,陈增照,张剑.运用反例基于识别的手写数字串分割[J].武汉大学学报(理学版),2007,53(3):301-304. |
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| 作者姓名： | 宋婉娟 董才林 陈增照 张剑 |
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| 作者单位： | 华中师范大学,计算机科学系,湖北,武汉,430079 |
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| 摘 要： | 采用基于识别的分割方法进行手写数字串分割.在识别的过程中,运用反例样本估计分类器参数,实验数据表明,这种运用反例样本训练的分类器与没有经过反例样本训练的分类器相比,将提高拒识率到19%左右,从而保证了较高的识别率,验证了只有经过反例训练的分类器的输出结果才是可信赖的.
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| 关 键 词： | 数字串分割 反例样本 分类器 |
| 文章编号： | 1671-8836（2007）03-0301-04 |
| 修稿时间： | 2006-11-30 |
Recognition-Based Method for Handwritten Numerical Strings Segmentation Trained with Negative Data |
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| SONG Wanjuan,DONG Cailin,CHEN Zengzhao,ZHANG Jian.Recognition-Based Method for Handwritten Numerical Strings Segmentation Trained with Negative Data[J].JOurnal of Wuhan University:Natural Science Edition,2007,53(3):301-304. |
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| Authors: | SONG Wanjuan DONG Cailin CHEN Zengzhao ZHANG Jian |
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| Institution: | Department of Computer Science, Huazhong Normal University, Wuhan 430079, Hubei, China |
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| Abstract: | This paper used the recognition-based Method to solve the segmentation problem of handwritten numerical strings . In the segmentation process, to get classifier with better performance, negative data must be the necessary trained samples. The experiment results show that this method with negative data can get better refuse rate, which reaches 19 percent. During to the increase of refuse rate, the recognition accuracy also increases,validate that the outputs of the classifier trained with negative data is reliable. |
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| Keywords: | numerical strings segmentation negative data classifier |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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