Improved support vector machine approach based on determining thresholds automatically

Xiao Hua Wang*, Xue Mei Yan, Xiao Guang Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

To improve the training speed of support vector machine (SVM), a method called improved center distance ratio method (ICDRM) with determining thresholds automatically is presented here without reduce the identification rate. In this method border vectors are chosen from the given samples by comparing sample vectors with center distance ratio in advance. The number of training samples is reduced greatly and the training speed is improved. This method is used to the identification for license plate characters. Experimental results show that the improved SVM method-ICDRM does well at identification rate and training speed.

Original languageEnglish
Pages (from-to)300-304
Number of pages5
JournalJournal of Beijing Institute of Technology (English Edition)
Volume16
Issue number3
Publication statusPublished - Sept 2007

Keywords

  • Border vector
  • Improved center distance ratio method (ICDRM)
  • Support vector machine (SVM)
  • Threshold

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