| 基于无线网络车牌识别系统识别算法的研究 |
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| 引用本文： | 单家凌.基于无线网络车牌识别系统识别算法的研究[J].计算机测量与控制,2011,19(1). |
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| 作者姓名： | 单家凌 |
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| 作者单位： | 广东白云学院计算机系,广东广州,510450 |
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| 摘 要： | 字符识别是智能车牌识别系统研究的核心问题,针对有线网络车牌识别系统的缺点,将BP算法应用在基于无线网络的车牌识别系统上,重点讨论了用改进的BP神经网络方法对车牌字符的识别;根据我国最新机动车号牌GA36-2007标准,设计出了用于车牌识别的3个神经网络,用MATLAB完成了对车牌字母部分识别的模拟,采用隐层节点22,动量因子0.8进行训练,最后得出实验结果,达到目标误差小于0.001的要求;证明这种方法应用在基于无线网络车牌识别系统上是高效的.
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| 关 键 词： | 无线网络 车牌字符 BP神经网络 隐含层节点 |
License Plate Recognition System Based on Wireless Network Recognition Algorithm |
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| Shan Jialing.License Plate Recognition System Based on Wireless Network Recognition Algorithm[J].Computer Measurement & Control,2011,19(1). |
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| Authors: | Shan Jialing |
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| Affiliation: | Shan Jialing(Department of Computer,Guangdong Baiyun institute,Guangzhou 510450,China) |
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| Abstract: | Focused on the improved BP neural network character recognition on the license plate.According to our latest standard vehicle number plate GA36-2007,designed for the three neural network license plate recognition,MATLAB completed a license plate with the letters part of the simulated recognition.With 22 hidden nodes,momentum factor of 0.8 for training.Finally experimental results obtained.Achieve the target error is less than the requirements of 0.001,Show that the method used in wireless network-based lice... |
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| Keywords: | wireless network character of vehicle's license plate BP neural networks hidden nodes |
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