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

Handwritten number recognition based on the improved C-support vector machine

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。

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.