关键词: 主成分分析(PCA)，级联分类器，SVM，车牌字符识别

Abstract: This paper proposed a new method based on the structural features and gray-scale features. To get a higher performance,the structural features and binary pixels features were extracted from the binary images respectively.hhese features were mapped to the high dimensional space through SVM to get the category. Gray pixels features were needed as an input of SVM while the category was"8" or "B". If the category was "0" or "D",we used the OD-classifier to classify it again. The algorithm was used to classify the license plate char images. Experiment shows that the algorithm can effectively improve the recognition rate of confusing characters with nice recognition rate and high performance. The algorithm has a broad application prospects.

Key words: Principal component analysis(PCA),Cascade classificr,SVM,License plate recognition