针对复杂背景的车牌定位问题, 提出了一种颜色和纹理分析相结合的车牌定位算法. 该算法采用基于适

*色图象相似性比较的HSV 颜色模型, 首先在颜色空间进行距离和相似度计算 然后对输入图象进行颜色分

割, 只有满足车牌颜色特性的区域, 才进入下一步的处理 最后再利用纹理及结构特征对分割出的颜色区域进行分

析和进一步判断, 并确定车牌区域. 该方法不同于大多数的车牌定位方法-License plate location for the complex background problems, a combination of color and texture analysis of the license plate location algorithm. In the procedure, appropriate



Combined color image similarity comparison of HSV color model, the first color space in the calculation of distance and similarity　then the input image for color sub-



Cut, only to meet the license plate color characteristics of the region before entering the next stage of processing　Finally, use of texture and structural characteristics of the color of the segmented sub-regions



Analysis and further determine and identify license plate. This method is different from most of the license plate location method