欲实现汽车监控和管理智能化,必须正确识别牌照字符.在识别过程中,关键是特征向量的提取.小波变换能有效地提取字符的结构特征,而矩能够很好地对其进行描述.该文提出了一种用线性矩和小波变换提取数字、字母字符特征的方法,实验证明该方法有很高的识别率,达到97%以上,能够有效地进行字符的分类,可满足实际应用.

For the sake of vehicle identification and intelligent management, it's necessary to recognize the characters on the license in high accuracy. Selection of a feature extraction method is probably the most important factor in recognition process. The feature of number and letter character construction can be extracted by wavelet transform effectively and described by moments. A method of character recognition based on linearity moments and wavelet transform is presented in this paper. The result of experiment shows high recognition rate above 97%, which indicates that the method can be put into practical use.