利用opencv，采用Adaboost算法训练分类器，将训练好的分类器用于车牌定位。-Using opencv, Adaboost algorithm training classifiers, trained classifier for license plate location.

adaboost算法，针对图像处理，训练强弱分类器 分类器-adaboost algorithm for image processing, strength training classifiers     Classifier

基于特征向量的人脸识别，有训练集和样本集，通过Adaboost强分类器算法实现，结果精确度达到95 以上，给定一个example,就可以在样本集中识别出对应的人脸。-Face recognition based on feature vectors have the training set and sample set by Adaboost strong classifier algorithm, the results of more than 95 accuracy, given an

使用pca方法对图像进行特征提取，对训练集的20个人的共一百张人脸进行训练，使用adaboost算法生成强分类器，可以对测试集的人脸图片进行识别，且识别率较高(The PCA method is used to extract the features of the image, and the training is carried out for a total of 100 faces of 20 people in the training set. The AdaBoost algor