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基于Gabor滤波器组的车牌汉字特征提取
引用本文:朱峰,詹永照. 基于Gabor滤波器组的车牌汉字特征提取[J]. 计算机应用与软件, 2007, 24(6): 56-58,92
作者姓名:朱峰  詹永照
作者单位:江苏大学计算机科学与通信工程学院,江苏,镇江,212013;江苏大学计算机科学与通信工程学院,江苏,镇江,212013
摘    要:提出基于Gabor滤波器组的特征提取新方法.利用汉字图像的统计信息及归一化信息,提出针对车牌汉字的有效的Gabor滤波器组参数优化方法,并设计一组Gabor滤波器用于提取车牌汉字图像中不同中心频率和方位的笔画纹理特征,实现直接对灰度图像的特征提取.实验结果表明,相比传统二值化特征提取方法,采用基于Gabor滤波器组的小波变换提取特征能够获得更良好的识别性能.

关 键 词:Gabor小波变换  Gabor滤波器组  车牌汉字  特征提取
修稿时间:2005-05-30

CHINESE CHARACTER FEATURE EXTRACTION IN THE VEHICLE-LICENSE-PLATE BASED ON GABOR FILTERS
Zhu Feng,Zhan Yongzhao. CHINESE CHARACTER FEATURE EXTRACTION IN THE VEHICLE-LICENSE-PLATE BASED ON GABOR FILTERS[J]. Computer Applications and Software, 2007, 24(6): 56-58,92
Authors:Zhu Feng  Zhan Yongzhao
Affiliation:School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China
Abstract:In this paper, a method for Chinese character feature extraction in vehicle-license-plate by using Gabor wavelet transform is presented. Based on the theory of Gabor filters and the statistical information of Chinese character images,a set of Gabor filters was designed to extract texture features of different central frequency and orientation in the character image. Experiments show the method that directly extracts features from gray scale image performs excellently for images in low quality greyscale.
Keywords:Gabor wavelet transform Gabor filters Vehicle-license-plate chinese character Feature extraction
本文献已被 CNKI 维普 万方数据 等数据库收录!
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