提出了一种基于颜色空间和字频统计结合的车牌分割方法。该方法是在HSV彩色空间中,充分利用车牌图像提供的彩色信息,构造出灰度图,然后采用数学形态学、字频统计方法分析和判断,进行初定位。然后进行水平和垂直倾斜校正，去除边框，最后确定并分割出汽车牌照。该方法不受车牌大小、位置以及车牌的背景和光照条件等方面的限制-Proposed license plate segmentation method based on color space and a combination of word frequency statistics. This method is in HSV color space, make full use of the color information provided by the license plate image constructed grayscale, then using mathematical morphology, word frequency analysis and statistical methods to determine, were the early positioning. Then the horizontal and vertical tilt correction, removal of borders, finalized and split the car license. The method is not limited plate size, position, and illumination conditions of the license plate of the background and other aspects