期刊文献+

基于支持向量机的手写体数字识别系统设计 被引量:15

System design of recognition of handwritten digits by support vector machine
下载PDF
导出
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 .
出处 《计算机工程与设计》 CSCD 北大核心 2005年第6期1592-1594,1598,共4页 Computer Engineering and Design
关键词 支持向量机 数字识别 系统设计 support vector machine digits recognition system design
  • 相关文献

参考文献4

二级参考文献17

  • 1[1]Vapnik V. The nature of statistical learning theory[M]. New York: Springer Press, 1995.
  • 2[2]Osuna E E, Girosi F. Reducing the run-time complexity of support vector machines[Z]. ICPR'98, Brisbane, 1998.
  • 3[3]Cortes C,Vapnik V. Support vector networks[J]. Machine Learning,1995,20(2):273-297.
  • 4[4]Bennett K P. Decision tree construction via linear programming[Z]. The Midwest Artificial Intelligence and Cognitive Science Society Conference, Utica, 1992.
  • 5Cheng D,Pattern Recognition,1998年,31卷,3期,235页
  • 6Hu J,Pattern Recognition,1998年,31卷,5期,493页
  • 7Zhou J,Proc 4th ICDAR Ulm Germany,1997年,294页
  • 8Impedovo S,Automatic Bankcheck Processing,1997年
  • 9Lee S W,IEEE Trans Pattern Recognition Machine Intelligence,1996年,18卷,6期,648页
  • 10Proc 3rd ICDAR,1995年,74页

共引文献2360

同被引文献104

引证文献15

二级引证文献62

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部