Abstract: License plate detection is the key to the recognition of automatic license plates.The two new regional statistics can quickly rule out a large number of non-regional plate vehicles，based on which，a noval Adaboost with auxiliary detection is proposed in the paper.Tests show that compared with color-based classifier and traditional cascaded AdaBoost classifier，the new algorithm takes the advantages of a faster detection speed，a higher detection rate as well as fewer false detections.

Key words: feature, cascaded classifier, AdaBoost

摘要： 车牌检测是车牌识别的关键所在，两种新的区域统计学特征能迅速排除大量的非车牌区域，在此基础上，采用增加了辅助判决的级联分类器来改进AdaBoost算法。实验表明，该算法与基于颜色特征分类器和传统的级联AdaBoost分类器相比，具有较快的检测速度、较高的检测率和较低的误检率。

关键词: 特征, 级联分类器, AdaBoost