Chinese character recognition via gegenbauer moments

Simon Liao, Amy Chiang, Qin Lu, Miroslaw Pawlak

Research output: Journal article publicationJournal articleAcademic researchpeer-review

22 Citations (Scopus)

Abstract

Moment features have been applied in pattern recognition systems since the moment method was developed. In this paper, a set of moment features extracted from the newly developed Gegenbauer moment method for Chinese character recognition is proposed. Compared with the results based on other moment methods, the Gegenbauer moments can provide a modest improvement in terms of recognition for those Chinese characters that are very similar in shapes. We conclude that the proposed new Gegenbauer moment method can supplement the existing Chinese character recognition techniques based on local structure features.
Original languageEnglish
Pages (from-to)485-488
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume16
Issue number3
Publication statusPublished - 1 Dec 2002

Keywords

  • Chinese character recognition
  • Gegenbauer moments

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

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