On-line handwriting recognition with a neuro-fuzzy method

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

This paper describes an efficient neuro-fuzzy method for recognizing on-line handwriting characters. The basic idea is to train a number of network classifiers and aggregating them with fuzzy logic. The method combines the outputs of separate networks with importance of each network, which is subjectively assigned as the nature of fuzzy logic. We demonstrate the superior performance of the presented method and compare with conventional methods like voting and averaging by thorough experiments on a difficult on-line handwriting recognition problem.

Original languageEnglish
Pages1131-1136
Number of pages6
Publication statusPublished - 1995
EventProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5) - Yokohama, Jpn
Duration: 1995 Mar 201995 Mar 24

Other

OtherProceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5)
CityYokohama, Jpn
Period95/3/2095/3/24

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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  • Cite this

    Cho, S. B. (1995). On-line handwriting recognition with a neuro-fuzzy method. 1131-1136. Paper presented at Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5), Yokohama, Jpn, .