车牌识别(LRP)是智能交通系统中关键技术之一。以车牌识别为

基础，可以对车辆进行自动登记、验证、监视、报警，进而可以应用

在多种场合，如高速公路收费系统 道路、卡口监控系统 小区、停

车场收费 监控系统和车流统计等。在本文的研究中以模式识别和图

像处理技术为基础和基本手段，结合新兴领域的理论工具一一小波分

析，分别对车牌分割、车牌图像去噪和车牌字符识别三个方面做了系

统研究，并提出了有效的解决方法。

-License Plate Recognition (LRP) is the intelligent transportation system one of the key technologies. To vehicle license plate recognition based on the vehicles can be automatically registered, verification, monitoring, alarm, and thus can be applied on many occasions, such as highway toll collection system of roads, district monitoring system Bayonet, parking charges and traffic monitoring system statistics. In this study in order to pattern recognition and image processing technology as the foundation and basic tools, combined with the emerging field of the theory of wavelet analysis tools 11, respectively, on the license plate segmentation, image denoising and license plate license plate character recognition three have done a systematic research and to propose an effective solution.