计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (20): 188-190.
• 图形、图像、模式识别 • 上一篇 下一篇
江林升1，朱学芳2
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JIANG Linsheng1，ZHU Xuefang2
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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
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
江林升1，朱学芳2. 一种基于新特征的车牌检测方法[J]. 计算机工程与应用, 2011, 47(20): 188-190.
JIANG Linsheng1，ZHU Xuefang2. Car plate detection based on new features[J]. Computer Engineering and Applications, 2011, 47(20): 188-190.
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http://cea.ceaj.org/CN/Y2011/V47/I20/188
