On-Line Recongnition of Handwritten Hangeul by Structure Analysis

구조해석에 의한 필기체 한글의 온라인 인식

  • Hong, Sung Min (Dept. of Elec. Eng., Kyung Hee Univ.) ;
  • Kim, Eun Won (Dept. of Elec. Eng., Kyung Hee Univ.) ;
  • Park, Chong Kug (Dept. of Elec. Eng., Kyung Hee Univ.) ;
  • Cho, Won Kyung (Dept. of Elec. Eng., Kyung Hee Univ.)
  • 홍성민 (경희대학교 공과대학 전자공학과) ;
  • 김은원 (경희대학교 공과대학 전자공학과) ;
  • 박종국 (경희대학교 공과대학 전자공학과) ;
  • 조원경 (경희대학교 공과대학 전자공학과)
  • Published : 1986.01.01

Abstract

In this paper, an algorithm for the on-line recognition of handwritten Hangeul is proposed. The strokes are recognized by the minimum distance parser. The phonemes are separated by the finite-state automata resulted from the state graph of phonemes which are produced by the order of strokes. By simulation result for 3,000 characteristics in practical sentences, the recognition rate of strokes is obtained to be 98.5% and the separation rate of phonemes is obtained to be 92.5%.

Keywords