车牌检测级联分类器快速训练算法

针对传统AdaBoost算法的不足,分析了训练过程中出现过训练及分类器退化的问题,并提出了解决这一问题的有效新方法。新方法主要对样本及时更新和样本权重的更新规则进行了调整。使用该方法训练级联车牌检测器,实验结果表明,新方法较好地解决了传统AdaBoost算法中所出现的过训练及退化问题,在保证检测率的同时降低了误检率,并且训练时间缩短了50%左右。

Improved license plate detection method based on AdaBoost algorithm

Focusing on the disadvantages of classical AdaBoost algorithm,this paper analyzes the issues of excessive training and overfitting for classifiers and proposes a new method to avoid these problems.The new method is to update the training samples in time and regulate the updated rules of sample weights.As a result,using the method to train a cascade license plate,the experimental results show that the new method does not lead to the issues of excessive training and overfitting like classical AdaBoost often d...