| 基于Gabor变换的中文字符特征提取方法研究 |
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| 引用本文： | 罗毅,李莺,王锴,李斌.基于Gabor变换的中文字符特征提取方法研究[J].电子设计工程,2012,20(15):146-147,150. |
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| 作者姓名： | 罗毅 李莺 王锴 李斌 |
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| 作者单位： | 1. 四川理工学院自动化与电子信息学院,四川自贡,643000
2. 四川理工学院计算机学院,四川自贡,643000 |
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| 基金项目： | 四川省教育厅青年基金(10ZB099 |
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| 摘 要： | 针对传统汉字字符特征提取方法的不足,提出了一种基于Gabor变换,对图像纹理特征的方向性敏感的字符特征提取方法。先将灰度字体图像进行二值化、归一化处理,再利用Gabor滤波器进行滤波,获取图像的内部纹理特征和边缘信息,进而从不同方向进行特征提取。实验证明利用gabor变换计算中文字符图像的笔画方向特征,对中文字符具有较好的分类效果。
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| 关 键 词： | Gabor变换 特征提取 归一化 字符识别 |
Research of Chinese character feature extraction method based on gabor tansform |
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| LUO Yi,LI Ying,WANG Kai,LI Bin.Research of Chinese character feature extraction method based on gabor tansform[J].Electronic Design Engineering,2012,20(15):146-147,150. |
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| Authors: | LUO Yi LI Ying WANG Kai LI Bin |
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| Affiliation: | 1.School of Automation and Electronic Information,Sichuan University of Science & Engineering,Zigong 643000,China; 2.School of Computer Science,Sichuan University of Science & Engineering,Zigong 643000,China) |
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| Abstract: | The traditional Chinese characters character feature extraction method were always affected by the font,size and so on.So in this paper,a direction sensitive feature extraction method Gabor transform was studied in image textural features extraction.The Gabor transform of character image can get the Chinese stroke direction characteristic.Experimental results showed that the feature extraction in this paper has great performance of classification effect. |
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| Keywords: | gabor transform feature extraction normalization char recognition |
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