基于小波变换和分形维数的车牌汉字识别  

Chinese Character Recognition of License Plate Based on Wavelet Transform and Fractal Dimension

作　　者：冯宇[1] 李文举[1] 孙娟红[1] 赵颖[2] 单家伟[1] 

机构地区：[1]辽宁师范大学计算机与信息技术学院,辽宁大连116081 [2]辽宁工业大学计算机中心,辽宁锦州121001

出　　处：《计算机工程》2011年第22期137-138,共2页Computer Engineering

基　　金：辽宁省教育厅高等学校科研基金资助项目(L2010232)

摘　　要：提出一种基于小波变换与分形维数的车牌汉字识别方法。对字符图像进行预处理和小波变换,应用改进的微分盒维法计算图像分形盒维值,并构造特征向量,利用支持向量机分类器对字符进行分类与识别。实验结果表明,该方法对模糊字符的识别具有鲁棒性,可提高汉字识别率。Aiming at the problems of the character recognition for degraded license plates,a novel recognition method for Chinese character of license plate based on wavelet transform and fractal dimension is proposed in this paper.The image pre-processing and wavelet transform technologies are applied to the character images.An shifting differential box-counting approach（SDBC） is used to compute fractal box-counting of the images and gain the feature vector.Support Vector Machine（SVM） is adopted to design the classifier for recognizing the chinese characters.Experimental results show that the proposed method is robust in dealing with blurred character images,and it can improve the recognition rate of Chinese characters.

关 键 词：汉字识别 特征提取 小波变换 分形维数 支持向量机 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]