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基于Adaboost算法的车牌检测在OpenCV上的研究与实现
引用本文:邓育林.基于Adaboost算法的车牌检测在OpenCV上的研究与实现[J].广西师范学院学报(自然科学版),2011,28(1):109-112,120.
作者姓名:邓育林
作者单位:广西师范学院计算机与信息工程学院,广西南宁,530023
摘    要:Adaboost是一个构建精确分类器的学习算法,在目标检测领域有着广泛的应用。OpenCV是Intel开源计算机视觉库。该文给出了在OpenCV上利用Adaboost算法,实现车辆车牌检测的完整实验过程,包括样本的建立、训练级联分类器、以及利用训好的分类器进行目标检测。

关 键 词:Adaboost算法  OpenCV  车牌检测

Research and Implementation of License Plate Detection Based on Adaboost Algorithm in OpenCV
DENG Yu-lin.Research and Implementation of License Plate Detection Based on Adaboost Algorithm in OpenCV[J].Journal of Guangxi Teachers Education University:Natural Science Edition,2011,28(1):109-112,120.
Authors:DENG Yu-lin
Institution:DENG Yu-lin(Computer and Information Engineering College,Guangxi Teachers Education University,Nanning 530004,China)
Abstract:Adaboost is a learning algorithm to build accurate classifiers,widely used in the field of object detection.Intel OpenCV is open source computer vision library.In this paper,Adaboost algorithm in OpenCV is used to realize the complete vehicle license plate detection experiment,including sample building,training cascade classifiers,and the use of a good classifier training target detection.
Keywords:Adaboost algorithm  OpenCV  license plate detection
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