| 基于Gabor变换与最近邻分类器的字符识别方法 |
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| 引用本文： | 杨彩霞.基于Gabor变换与最近邻分类器的字符识别方法[J].西安文理学院学报,2010(4):83-85. |
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| 作者姓名： | 杨彩霞 |
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| 作者单位： | 宝鸡职业技术学院经济管理系,陕西宝鸡721013 |
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| 摘 要： | 光学字符识别中,特征提取与分类是最关键的步骤,文中采用Gabor变换来提取图像特征,结合最近邻分类器进行分类识别,实现了对中文字符的准确识别.实验表明,该方法具有较好的抗干扰性.
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| 关 键 词： | Gabor OCR KNN |
On the Character Identification Based on Gabor Alternation and Adjacent Classifier |
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| YANG Cai-xia.On the Character Identification Based on Gabor Alternation and Adjacent Classifier[J].Journal of Xi‘an University of Arts & Science:Natural Science Edition,2010(4):83-85. |
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| Authors: | YANG Cai-xia |
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| Institution: | YANG Cai-xia(Department of Economic Management,Baoji Institute of Vocational Technique,Baoji 721013,China) |
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| Abstract: | The feature withdrawal and classification are the most crucial step in optical character identification.This study withdraws image features by means of Gabor alternation in combination with adjacent classifier and realizes the accurate identification of Chinese characters.The experiment shows that this method is good in anti-interference. |
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| Keywords: | Gabor OCR KNN |
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