| 基于BP神经网络的车牌识别系统 |
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| 引用本文： | 苏科,陈志彬. 基于BP神经网络的车牌识别系统[J]. 鞍山钢铁学院学报, 2010, 0(5): 509-512 |
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| 作者姓名： | 苏科 陈志彬 |
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| 作者单位： | 辽宁科技大学电子与信息工程学院,辽宁鞍山114051 |
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| 摘 要： | 车牌识别系统是智能交通领域的重要组成部分,在现代交通管理中的作用举足轻重。基于VC＋＋6.0进行实验,针对中国的车牌进行研究,用BP神经网络来实现车牌识别。车牌识别分为图像预处理、车牌定位、字符分割和字符识别四个步骤。利用车牌的先验知识进行定位,引进双阈值进行字符分割,利用13段特征提取法提取特征向量,实验表明该识别算法行之有效。
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| 关 键 词： | 车牌识别 BP神经网络 车牌定位 字符识别 |
License plate recognition system with BPNN |
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| SU Ke,CHEN Zhi-bin. License plate recognition system with BPNN[J]. Journal of Anshan Institute of Iron and Steel Technology, 2010, 0(5): 509-512 |
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| Authors: | SU Ke CHEN Zhi-bin |
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| Affiliation: | (School of Electronic and Information Engineering,University of Science and Technology Liaoning,Anshan 114051,China) |
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| Abstract: | License plate recognition system（LPRS） is the main part of the intelligent transportation system,and it plays an important role in the contemporary transportation management.Based on VC＋＋ 6.0 platform,the BP neural network is proposed to recognize the Chinese license plate.The proposed scheme consists of four steps： image preprocessing,license plate location,character segmentation and character recognition.In this paper,the experiential knowledge is used to locate the license plate,and two thresholds are introduced to segment the character,and the 13-point feature extraction is used to extract the eigenvector.The experimental results show the proposed algorithm is effective to solve the problem. |
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| Keywords: | LPR BP neural network license plate location character recognition |
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