基于纹理分析的精确车牌定位算法

在车牌识别（LPR）系统的实现过程中，最关键的部分就是车牌图像的提取以及车牌字符图像的分割。介绍了一种基于车牌区域字符的纹理特征和统计规律的车牌定位方法。由于光照、复杂背景等因素都会对车牌定位产生不良影响，而利用车牌字符纹理丰富的特征寻找车牌区域就可以避开这些不良影响。这种算法不仅排除了光照、复杂背景等因素的影响，而且对于拍摄到车牌的大小、车牌在图像中的位置和倾斜角度没有太多限制。实验证明这种算法具有定位准、适应性强的特点。

Texture Analysis-Based Vehicle License Plate Location

In the License Plate Recognition (LPR) system, the most critical part is the license plate image extraction and image segmentation license plate characters. In this paper, a license plate location method is proposed based on the license plate region texture features and statistical laws it. This algorithm cannot only rule out the light, complex background and other factors, it is also not limited by the size of license plate capture, license plate in the image of the location and angle.