【摘要】 由于光照条件的不同 ,采集到的汽车图像背景复杂 ,车牌部分灰度变化不均 ,因此很难找到一种通用的汽车车牌分割方法 提出一种基于形态特征的汽车车牌图像分割方法 实验证明 ,该方法具有很强的抗干扰能力 ,算法简单、速度快 ,能有效地从复杂背景中将车牌字符分割出来更多还原

【Abstract】 According to the National standard of China, the car plate is in general rectangular in shape, containing 7 characters with the aspect ratio of height to width 2∶1, having a broader spacing from the second to third character etc These morphologic features are used to guide the image segmentation of car plate under a great variety of light conditions Tests show that the method is not only simple and fast, but also robust更多还原