| 不同训练样本对识别系统的影响 |
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| 引用本文： | 刘刚,张洪刚,郭军.不同训练样本对识别系统的影响[J].计算机学报,2005,28(11):1923-1928. |
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| 作者姓名： | 刘刚 张洪刚 郭军 |
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| 作者单位： | 北京邮电大学信息工程学院,北京,100876 |
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| 基金项目： | 本课题得到国家“八六三”高技术研究发展计划项目基金（2001AA114080）和国家自然科学基金（60475007）资助. |
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| 摘 要： | 分析了训练样本对于识别系统性能的影响,将训练样本分为三种： 好样本、差样本和边界样本,分析了它们在训练中所起的作用,并结合基于HMM的手写数字识别系统,给出了一种简单的边界样本定义和选择的方法;通过实验证明了采用边界样本训练可使系统误识率降低17.51%,并证明了边界样本的重要性,且指出非边界样本的存在会影响训练的效果.
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| 关 键 词： | 训练样本 样本分类 边界样本 HMM |
| 收稿时间： | 2003-07-08 |
| 修稿时间： | 2003-07-082005-09-20 |
The Influence of Different Training Samples to Recognition System |
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| LIU Gang,ZHANG Hong-Gang,GUO Jun.The Influence of Different Training Samples to Recognition System[J].Chinese Journal of Computers,2005,28(11):1923-1928. |
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| Authors: | LIU Gang ZHANG Hong-Gang GUO Jun |
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| Affiliation: | School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876 |
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| Abstract: | In the paper,the influence of training sample to the performance of recognition system is analyzed.The training samples are classified into three classes: good sample,poor sample and boundary sample.Combined with the handwritten numeral recognition system based on HMM,a simple method of definition and selection of boundary sample is given.The experimental result shows the miss-recognition rate is reduced by 17.51% by introducing boundary sample training,which verify the importance of boundary sample,the existence of non-boundary sample will influence the training effects. |
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| Keywords: | training sample sample classifying boundary sample HMM |
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