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| 基于压缩传感的手写字符识别方法 | |
| 引用本文： | 刘长红,杨扬,陈勇. 基于压缩传感的手写字符识别方法[J]. 计算机应用, 2009, 29(8) |
| 作者姓名： | 刘长红 杨扬 陈勇 |
| 作者单位： | 1. 北京科技大学,信息工程学院,北京,100083;江西师范大学,计算机信息工程学院,南昌,330022 2. 北京科技大学,信息工程学院,北京,100083 3. 南昌工程学院,管理工程系,南昌,330099 |
| 基金项目： | 江西省教育厅科技项目 |
| 摘 要： | 基于新出现的压缩传感理论,提出了一种鲁棒的手写字符识别方法,能很好地对含有噪声的字符进行识别.该方法通过对测试字符进行稀疏表示,采用l1范数最小化算法求得最稀疏的系数解,所获得的系数具有明显的类别信息,从而易于对测试字符进行分类.实验结果表明,该方法具有很好的噪声鲁棒性. |
| 关 键 词： | 手写字符识别 压缩传感 稀疏表示 l1最小化 |
Handwritten character recognition based on compressive sensing |
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| LIU Chang-hong,YANG Yang,CHEN Yong. Handwritten character recognition based on compressive sensing[J]. Journal of Computer Applications, 2009, 29(8) | |
| Authors: | LIU Chang-hong YANG Yang CHEN Yong |
| Affiliation: | 1. School of Information Engineering;Beijing University of Science and Technology;Beijing 100083;China;2. School of Computer Information and Engineering;Jiangxi Normal University;Nanchang Jiangxi 330022;3. Department of Management Engineering;Nanchang Institute of Technology;Nanchang Jiangxi 330099;China |
| Abstract: | A robust method for handwritten character recognition with noises based on compressive sensing was presented. The sparsest representation of the test character computed by l1-minimization had distinct class information;therefore,it is easy to classify the characters. The experimental results show that the proposed method is a noise robust technique. |
| Keywords: | handwritten character recognition compressive sensing sparse representation l1-minimization |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |