A stochastic representation of cursive Chinese characters for on-line recognition

Tzren Ru Chou, Wen Tsuen Chen*

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

3 引文 斯高帕斯(Scopus)

摘要

In this paper, a stochastic representation of on-line Chinese characters of cursive style is proposed. A character in this representation is modeled by a sequence of concatenated stochastic curves, termed stochastic cubic Bézier curves (SCBC), with random noises. Furthermore, we also propose a curve alignment procedure to consistently match an input character with a stochastic reference one. Some classification experiments were performed. The stochastic approach is hardly sensitive to the characters with linked and degraded strokes; meanwhile, its recognition rate is higher than 95% even for deformed confusing characters.

原文英語
頁(從 - 到)903-920
頁數18
期刊Pattern Recognition
30
發行號6
DOIs
出版狀態已發佈 - 1997 六月

ASJC Scopus subject areas

  • 軟體
  • 訊號處理
  • 電腦視覺和模式識別
  • 人工智慧

指紋

深入研究「A stochastic representation of cursive Chinese characters for on-line recognition」主題。共同形成了獨特的指紋。

引用此