| 基于小波变换和神经网络的车牌识别系统 |
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| 引用本文： | 陈景航,杨宜民. 基于小波变换和神经网络的车牌识别系统[J]. 计算机工程, 2005, 31(15): 175-177 |
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| 作者姓名： | 陈景航 杨宜民 |
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| 作者单位： | 广东工业大学自动化学院,广州510090;广东工业大学自动化学院,广州510090 |
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| 摘 要： | 介绍了通过小波变换在复杂背景下对车辆图像进行去噪和对车辆牌照进行定位，并利用BP网络结合线性感知器来对车牌字符进行分类和识别。实验结果表明，该文提出的设计方案，算法简单、实时性好、识别率高，可适用于复杂背景环境中的车牌识别。
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| 关 键 词： | 小波变换 神经网络 图像去噪 车牌定位 字符识别 |
| 文章编号： | 1000-3428（2005）15-0175-03 |
| 收稿时间： | 2004-06-23 |
| 修稿时间： | 2004-06-23 |
Recognition System of Automobile License Plate Based on Wavelet and ANN |
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| CHEN Jinghang,YANG Yimin. Recognition System of Automobile License Plate Based on Wavelet and ANN[J]. Computer Engineering, 2005, 31(15): 175-177 |
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| Authors: | CHEN Jinghang YANG Yimin |
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| Abstract: | This paper introduces how to de-noise automobile image and to locate license plate with wavelet on complex background, and expatiates how to classify and recognise character of vehicle license plates with BP algorithm integrated with linear perceptron. Experiments show that the design project is easy to be realized, has a good real-time performance, has a high recognition rate and can be the same with recognition of vehicle license plates on complex background. |
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| Keywords: | Wavelet, ANN Image de-noising License plate location Character recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
