| 基于Gabor-SVM的文字识别方法 |
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| 引用本文： | 黄萍,卢谢吉.基于Gabor-SVM的文字识别方法[J].计算机与数字工程,2011,39(8):143-145. |
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| 作者姓名： | 黄萍 卢谢吉 |
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| 作者单位： | 1. 南京理工紫金学院 南京210046
2. 中兴通讯 南京210012 |
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| 摘 要： | 文字识别的难点和关键在于特征提取，文章把文字版面看作是含有特殊纹理信息的图像，利用Gabor变换，通过纹理分析提取出文字的全局特征。文字特征提取后，对其使用SVM进行训练学习。实验结果表明本方法能够较有效地提取出字符特征，并能有效地对字符进行分类。
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| 关 键 词： | Gabor SVM 文字识别 |
Chinese Character Recognition Based on Gabor-SVM |
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| Huang Ping,Lu Xieji.Chinese Character Recognition Based on Gabor-SVM[J].Computer and Digital Engineering,2011,39(8):143-145. |
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| Authors: | Huang Ping Lu Xieji |
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| Affiliation: | 2)(Nanjing University of Science and Technology Zijin College1),Nanjing 210046)(ZTE2),Nangjing 210012) |
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| Abstract: | The difficulty and key of Chinese character recognition are feature extraction. In this paper, Chinese character can be treated as an image containing special texture information Using Gabor filters to extract features, and using SVM method to study these features. The experiment shows that this method performs excellently for Chinese characters feature extraction and recognition. |
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| Keywords: | Gabor SVM character recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
