基于车牌检测的前方车辆识别方法

为解决前方车辆识别过程中的实时性问题，提出了一种基于车牌检测的前方车辆识别方法。首先，利用图像中的路面或车道线等细节提取感兴趣区域。其次，利用HSV( Hue-Saturation-Value) 色彩空间转换与矩形图像检测从感兴趣区域中过滤光照变化，阴影和杂乱背景，从而检测出车辆的车牌信息。同时，在初次检测失败的情况下进行二次定位和验证。最后，利用检测出的车牌信息识别前方车辆。该方法在自建与公共数据库视频上进行评估。实验结果表明，识别率超过90% ，并且具有较高的实时性，证明了该方法的有效性。

Vehicle Identification Method Based on License Plate Detection

In order to solve the real-time problem in the process of vehicle identification ahead，a vehicle identification method based on license plate detection is proposed． The method is divided into three steps． First，the region of interest is extracted using details such as a road surface or a lane line in the image． Secondly，HSV( Hue-Saturation-Value) color space conversion and rectangular image detection are used to filter illumination changes，shadows and cluttered backgrounds from the extracted regions of interest，and vehicle license plate information is detected． The secondary positioning is performed and verified in the case where the initial detection fails． Finally，the detected vehicle information is used to identify the vehicle in front． The proposed method is evaluated on self-built and public database videos． The experimental results prove the effectiveness of the proposed forward vehicle identification method， with over 90% recognition rate and high real-time performance．