Handwriting Digit Recognition Based on Eztension Engineering
The complicated training algorithm is needed in the traditional handwriting digits recognition, the complexity of algorithm is very high, and the expansibility to huge database is small. In this paper, the handwriting digit is recognized by means of the extension engineering. The classical domains and the extensional domains of handwriting digit character are constructed. The integrated correlative degrees of the measuring digits and 10 basic digits are calculated and handwriting digits are classified and recognized. According to the calculated correlative degrees and the recognized results, extension engineering is an effective method to handwriting digit recognition.
Handwriting digit recognition Eztension engineering Classification Support vector machine
Huimin Xiao Chen Liu
Information School, Henan University of Finance & Economics, Zhengzhou 450002
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
2915-2918
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）