车辆识别系统主要由车牌定位、字符分割和字符识别三个部分组成。车牌定位是指将车牌区域从车辆图像中分割出来，车牌定位是车牌自动识别技术中一个至关重要的环切。其定位的速度和准确程序直接影响到车牌识别系统的性能。车牌定位的方法的出发点是通过车牌区域的特征来判断牌照。而车牌定位主要包含两个关键技术问题：图像的预处理和车牌定位的算法。本文针对车牌识别系统中关于静态图片中的车牌定位问题，主要运用了图像处理的知识，在VC开发平台上，通过对静态图片进行灰度变换，二值化，中值滤波等一系列处理，利用投影检测算法实现了从采集到的包含车牌的图像中定位出车牌，为进一步的字符识别打下基础。-Vehicle identification system is composed of license plate location, character segmentation and character recognition of three parts. License plate location refers to the license plate image segmentation from the vehicle, license plate license plate recognition technology positioning is a vital circumcision. Speed and accuracy of its location directly affects the program performance license plate recognition system. License plate location method is through the starting point to determine the characteristics of the license plate license. The license plate location primarily consists of two key technologies: image preprocessing and the license plate location algorithm. This license plate recognition system for a static picture on the license plate positioning, the main use of the image processing knowledge in VC development platform, through the gray-scale transformation of the static image, binarization, median filtering and a series of processing, detection algorithm using projection f