Chinese Character Recognition via Gegenbauer Moments

نویسندگان

  • Simon X. Liao
  • Amy Chiang
  • Qin Lu
  • Miroslaw Pawlak
چکیده

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.

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تاریخ انتشار 2002