| 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].鞍山科技大学学报,2010(5). |
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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; |
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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 University of Science and Technology,2010(5). |
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| Authors: | SU Ke CHEN Zhi-bin |
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| Affiliation: | SU Ke CHEN Zhi-bin(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 in... |
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| Keywords: | LPR BP neural network license plate location character recognition |
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