| 基于改进的C-支持向量机的手写体数字高识别率方法研究 |
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| 引用本文： | 张 鹏,谢晓尧. 基于改进的C-支持向量机的手写体数字高识别率方法研究[J]. 贵州师范大学学报(自然科学版), 2014, 0(2): 95-98 |
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| 作者姓名： | 张 鹏 谢晓尧 |
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| 作者单位： | 贵州师范大学贵州省信息与计算科学重点实验室,贵州贵阳550001 |
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| 摘 要： | 手写体数字的识别在社会经济、社会生活的许多方面都有着广泛的应用。同时支持向量机是近几年来模式识别领域中的一种新技术,它被广泛应用到文字识别、人脸识别等应用中。为此将支持向量机技术应用到手写体数字的识别中,通过使用改进的C-支持向量机进行手写体数字的识别,并得出相应的识别率,结果表明此方法可行且有较高的识别率。
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| 关 键 词： | 支持向量机 改进的C-支持向量机 手写体数字识别 机器学习 图像处理 |
Handwritten number recognition based on the improved C-support vector machine |
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| ZHANG Peng,XIE Xiaoyao. Handwritten number recognition based on the improved C-support vector machine[J]. Journal of Guizhou Normal University(Natural Sciences), 2014, 0(2): 95-98 |
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| Authors: | ZHANG Peng XIE Xiaoyao |
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| Affiliation: | (Key Laboratory of Information and Computing Science of Guizhou Province,Guizhou Normal University, Guiyang, Guizhou 550001, China) |
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| Abstract: | Handwritten numeral recognition has been widely applied in many aspects of social economy,social life.At the same time,the support vector machine is a new technology in the field of pattern recognition in recent years,it has been widely applied to character recognition,face recognition applications.Therefore,applying the support vector machine to handwritten numeral recognition,and by using the improved C-SVM for handwritten numeral recognition,then get the relevant recognition rate,the results show that this method is feasible and has a high rate of recognition. |
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| Keywords: | support vector machine the improved C-SVM handwritten numeral recognition meachine learning image processing |
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