计算机工程2011，Vol.37Issue(22)：137-138,2.
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
摘要
Abstract
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Key words
Chinese character recognition/ feature extraction/ wavelet transform/ fractal dimension/ Support Vector Machine(SVM)分类
信息技术与安全科学引用本文复制引用
冯字,李文举,孙娟红,赵颖,单家伟..基于小波变换和分形维数的车牌汉字识别[J].计算机工程,2011,37(22):137-138,2.基金项目
辽宁省教育厅高等学校科研基金资助项目(L2010232) （L2010232）
