| 基于Gabor变换和支持向量机的手写体字符识别算法 |
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| 引用本文： | 任德昊,陈超,李文藻.基于Gabor变换和支持向量机的手写体字符识别算法[J].成都信息工程学院学报,2009,24(4):370-373. |
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| 作者姓名： | 任德昊 陈超 李文藻 |
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| 作者单位： | 1. 电子科技大学,四川,成都,610054;成都信息工程学院,四川,成都,610225
2. 成都信息工程学院,四川,成都,610225 |
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| 摘 要： | 针对在手写字符识别中由于书写习惯和风格的不同造成字符模式不稳定的问题,将支持向量机SVM方法用于手写字符的识别.算法首先采用Gabor变换提取手写字符图像的特征参数,然后采用提取的特征训练SVM分类器.再应用SVM分类器分类和判别手写字符.实验表明这种方法具有良好的车牌识别效果,较强的鲁棒性,较大的应用价值.
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| 关 键 词： | 支持向量机 手写字符识别 特征提取 Gabor变换 |
An algorithm based on Gabor filter and SVM for handwritten numeral recognition |
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| REN De-hao,CHEN Chao,LI Wen-zao.An algorithm based on Gabor filter and SVM for handwritten numeral recognition[J].Journal of Chengdu University of Information Technology,2009,24(4):370-373. |
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| Authors: | REN De-hao CHEN Chao LI Wen-zao |
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| Institution: | REN De-hao1,2,CHEN Chao2,LI Wen-zao2 (1.UESTC,Chengdu 610054,China,2.CUIT,Chengdu 610225,China) |
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| Abstract: | An algorithm based on Gabor filter and SVM is proposed for the handwritten character recognition.The features of the characters are detected by using the Gabor filter and global structural feature extraction.The features are used to train the support vector machine classifier.The characters are classified by suing trained support vector machines.Using the algorithm a high recognition rate can be reached.The experiment results show that the algorithm is feasible,robust and applicable. |
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| Keywords: | support vector machine handwritten character recognition feature extraction Gabor filter |
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