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An algorithm based on Gabor filter and SVM for handwritten numeral recognition
Pages: 370-373
Year: Issue:  4
Journal: Journal of Chengdu University Of Information Technology

Keyword:  支持向量机手写字符识别特征提取Gabor变换;
Abstract: 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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