数字图像处理-Matlab-车牌识别
近年来，汽⻋牌照自动识别技术已经越来越受到人们的重视，⻋牌自动识别技术的关键在于⻋牌定位、字符切割、字符识别及后续处理等。由于受到运算速度及内存大小的限制，以往的⻋牌识别大都是基于灰度图象处理的识别技术。首先要求正确检测出⻋牌区域，如通过Hough变换以检测直线来提取⻋牌边界区域、使用灰度分割及区域生⻓进行区域分割，或使用纹理特征分析技术等。Hough变换的方法在⻋牌区域变形或图象被污损情况下容易失效，而灰度分割则比直线检测的方法要稳定，但当图象在有许多与⻋牌的灰度非常相似的区域时，该方法也容易失效。纹理分析在遇到类似⻋牌纹理特征的其他因素干扰时，⻋牌定位正确率也会受到影响。所以选用了基于⻋牌彩色信息的彩色分割方法。
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