| 基于小波和神经网络的车牌字符识别新方法 |
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| 引用本文： | 郭招球,赵跃龙,高敬欣. 基于小波和神经网络的车牌字符识别新方法[J]. 计算机测量与控制, 2006, 14(9): 1257-1259 |
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| 作者姓名： | 郭招球 赵跃龙 高敬欣 |
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| 作者单位： | 中南大学,信息科学与工程学院,湖南,长沙,410083;中南大学,信息科学与工程学院,湖南,长沙,410083;华南理工大学,计算机科学与工程学院,广东,广州,510640 |
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| 摘 要： | 车辆牌照自动识别（简称车牌识别）是智能交通系统中一项重要的关键技术；首先简要介绍了车牌识别技术饷背景及意义，然后阐述了小波变换和BP神经网络的相关理论和实现细节，最后提出了一种基于小波和BP神经网络的车牌字符识别新方法，并采用了MATLAB数学工具进行仿真；实验结果显示，总的字符识别率为95．8％，平均识别时间21ms，表明该方法具有良好的实用价值，可应用于工程实践中。
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| 关 键 词： | 小波变换 神经网络 车牌识别 字符识别 |
| 文章编号： | 1671-4598（2006）09-1257-03 |
| 收稿时间： | 2005-11-11 |
| 修稿时间： | 2005-12-29 |
New Method for Vehicle License Plate Character Recognition Based on Wavelet and Neural Network |
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| Guo Zhaoqiu,Zhao Yuelong,Gao Jingxin. New Method for Vehicle License Plate Character Recognition Based on Wavelet and Neural Network[J]. Computer Measurement & Control, 2006, 14(9): 1257-1259 |
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| Authors: | Guo Zhaoqiu Zhao Yuelong Gao Jingxin |
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| Affiliation: | 1. School of Information Science and Engineering, Central South University, Changsha 410083, China; 2. School of Computer Science and Engineering, South China University of Technology, Guangzhou 510640, China |
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| Abstract: | The automatic vehicle license plate recognition (VLPR) is an important key technology in intelligent transportation system. First, VLPR's background and significance are introduced briefly. Then, the basic theory and implementation detail on wavelet transform and BP neural network are expounded. Finally, a new method for vehicle license plate character recognition based on wavelet and BP neural network is proposed, and emulational experiment is done with MATLAB. The experimental result shows that total recognition ratio is 95. 8% , and average expended time is about 21ms. This method can be used in practical system. |
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| Keywords: | wavelet transform neural network vehicle license plate recognition character recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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