A Study of Number and Letter Character Recognition Based on Moments and Wavelet Transform
基于矩和小波变换的数字、字母字符识别研究

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.