基于支持向量机的手写体数字识别系统设计  

System design of recognition of handwritten digits by support vector machine

作　　者：蒙庚祥[1] 方景龙[1] 

机构地区：[1]杭州电子工业学院软件学院,浙江杭州310018

出　　处：《计算机工程与设计》2005年第6期1592-1594,1598,共4页Computer Engineering and Design

摘　　要：数字识别是光学字符识别技术里发展比较早的一种技术,是OCR的一个分支。数字识别又分为手写数字识别和非手写数字识别,提到的手写数字识别是指脱机手写数字识别。支持向量机是近几年来模式识别领域中的一个新技术,它被广泛应用到文字识别、人脸识别等应用中,是模式识别领域中的研究热点,把支持向量机技术应用到手写数字识别系统中,以期提高识别系统的性能。Digits recognition is studied earlier than others in char recognition, it is a branch of OCR. Digits recognition is made up of handwritten digits recognition and non-handwritten digits recognition. The handwritten digits recognition that is studied is off-line hand- written digits recognition. Support vector machine is a new technic in pattern recognition inrecent years. SVM is used widely in different recognition and it is a hot topic in recognition. SVM is used in the system of handwritten digits recognition, whose goal is to improve the performance of the system .

关 键 词：支持向量机 数字识别 系统设计 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]