多颜色模型和综合特征下的车牌定位新方法

提出了一种基于多颜色模型的车牌定位新方法。该方法在RGB和HSV两种颜色模型中，首先充分利用车牌图像的彩色信息对车牌图像进行颜色分割，将彩色图像转化为多级灰度图，从而确定出车牌所在的可能区域，完成车牌区域的粗定位。然后结合车牌特有的字频统计特征和几何结构特征进行分析和判断，进而精确定位出车牌区域。实验表明该方法定位准确率高，且适用于任意背景、位置和光照下的牌照定位，具有很强的鲁棒性。

Approach for vehicle license plate locating using multi-color models and integrated characteristics

This paper presents an effective algorithm for vehicle license plate location,which employs multi-color models.Based on the RGB and HSV color models,the algorithm makes full use of the color information to segment the color image and construct a multiscale gray image,and then some regions with the color of car-plate are obtained.To the segmented image,the statistical-letter frequency properties and geometric structure properties are analyzed to locate the license plate correctly.Experiments show that this m...