| 一种基于分级RBF网络的车牌字符识别方法 |
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| 引用本文： | 李孟歆,吴成东,夏兴华. 一种基于分级RBF网络的车牌字符识别方法[J]. 计算机工程与应用, 2008, 44(30): 213-216. DOI: 10.3778/j.issn.1002-8331.2008.30.065 |
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| 作者姓名： | 李孟歆 吴成东 夏兴华 |
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| 作者单位： | 东北大学,信息科学与工程学院,沈阳,110004;沈阳建筑大学,信息与控制工程学院,沈阳,110168;东北大学,信息科学与工程学院,沈阳,110004;沈阳建筑大学,信息与控制工程学院,沈阳,110168 |
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| 基金项目： | 科技部国际科技合作项目 |
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| 摘 要： | 提出了一种基于分级RBF神经网络的车牌字符识别方法，采用两级RBF神经网络结构，由一级网络识别后，根据识别结果和置信度，建立识别分布图，进行二级网络设计，确定了12个二级子网。RBF网络中自动确定隐层神经元数，无需实验调整。用大量样本对系统进行测试，车牌整体识别率达到了85.4%，通过对比性研究，验证了该方法的有效性和先进性。
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| 关 键 词： | 车牌识别 径向基函数(RBF)网络 二级网络 识别率 |
| 收稿时间： | 2008-06-30 |
| 修稿时间： | 2008-8-1 |
Pattern recognition method for license plate character based on multilevel RBF network |
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| LI Meng-xin,WU Cheng-dong,XIA Xing-hua. Pattern recognition method for license plate character based on multilevel RBF network[J]. Computer Engineering and Applications, 2008, 44(30): 213-216. DOI: 10.3778/j.issn.1002-8331.2008.30.065 |
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| Authors: | LI Meng-xin WU Cheng-dong XIA Xing-hua |
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| Affiliation: | 1.School of Information Science & Engineering，Northeastern University，Shenyang 110004，China 2.School of Information and Control Engineering，Shenyang Jianzhu University，Shenyang 110168，China |
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| Abstract: | A new recognition algorithm for license plate character based on multi-level RBF network is proposed.Two-level RBF network is adopted.According to recognition results from one-level network and the confidence levels,recognition distribution table is built,and two-level network is accordingly designed.As a result,12 two-level sub-networks are formed.A large amount of samples are used for system test.Overall recognition accuracy is 85.4%.Through contrastive research,the method presented is proved to be effective and advanced. |
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| Keywords: | license plate recognition Radial Basis Function(RBF) network two-level network recognition accuracy |
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