文档介绍：目录
摘要 3
文献综述 5
1 车牌定位的研究 5
2 车牌字符识别的研究 7
1绪论 8
8
9
10
2 车辆牌照的定位方法 10
11
11
12
灰度图象二值化 13
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15
19
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20
22
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24
模板设计 25
26
28
附录 30
参考文献 34
致谢 36
基于图像处理的车牌定位识别算法研究
摘要:随着我国公路交通事业的迅速发展,传统的人工管理方式已越来越不能满足实际工作的需要。近年来,通信和计算机技术在交通领域的应用受到人们广泛的关注,得到了迅速的发展。我国的公路交通事业正在步入一个信息化、数字化的时代。车辆牌照自动识别系统在桥梁路口自动收费、停车场无人管理、违章车辆自动记录等领域有着广泛的应用。本论文的研究重点主要包括牌照的定位算法、牌照中字符的分割算法和字符识别算法三部分,通过对图像处理和分析技术的综合运用以及对问题本身特点的详细考察,最终实现了基于边缘特征和形态学分析的牌照定位算法。另外,本文还对拓扑特征识别算法和神经网络识别算法
进行了研究。拓扑特征识别算法原理简单、速度快,无须进行校正;神经网络识别算法容错能力强,但算法复杂。
关键词:车牌识别、图像处理、字符分割、字符识别
Based on Image Processing LPR Positioning Algorithm
AN Guangqing
College of Engineering and Technology, Southwest University, Chongqing 400716, China
Abstract:With the development of the road transportation, the traditional transportation management by hand can not meet the practical demands nowadays. More and more attention is being paid to the application of munication puter technologies in transportation and thus it is developing faster and faster. The transportation in China is going into an information and digital era. Automatic license plate identification plays an important role in Intelligent traffic control system parking lot monitor system and automatic charging system. The license plate identification system has to implement license plate region identification, character segmentation and character recognition. We use edge features and mathematics morphology to locate the plate region. In addition, there are two methods to recognized character. One is topology, which is single and quick. Other is NN, which plex but robust.
Key Words:Vehicle license plate recognition, Image processing, character segmentation, character recognition
文献综述
车辆牌照识别技术自1988年以来,人们就对它进行了广泛的研究,目前国内外已经有众多的算法,一些实用的LPR技术也开始用于车流监控、出入控制、电子收费等场合。然而无论是LPR算