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基于支持向量机的手写体数字识别
Recognition System of Using Support Vector Machine
【摘要】 提出了一种基于支持向量机的手写体数字识别系统。支持向量机方法,突破了传统模式识别方法的局限,使得基于支持向量机的分类器具有较好的推广能力。文中重点阐述了支持向量机的基本原理和集成在该系统中的重要的处理模块,实验结果表明该系统具有较高的识别率和较强的实用性。
【Abstract】 A new recognition system of handwritten numerals using support vector machine is presented in this paper.Support vector machine(SVM) can guarantee a better generalization ability than traditional pattern recognition methods.The problem to solve the theory of applying SVM in recognition of handwritten numerals and several processing modules,which have been integrated in the system,is addressed,and the system is proved to be practical with the experimental results.
- 【文献出处】 计算机与数字工程 ,Computer & Digital Engineering , 编辑部邮箱 ,2006年10期
- 【分类号】TP391.41
- 【被引频次】30
- 【下载频次】578