Title :
Optical Chinese character recognition with a hidden Markov model classifier-a novel approach
Author :
Jeng, B.-S. ; Chang, M.-W. ; Sun, S.W. ; Shih, C.-H. ; Wu, T.-M.
Author_Institution :
Inst. of Opt. Univ., Nat. Central Univ., Chung-Li, Taiwan
Abstract :
An optical Chinese character recognition system using a hidden Markov model (HMM) classifier has been developed to solve the input problem of Chinese characters. The recognition rate for 5401 multi-font characters reaches 97% on average for inside tests and 91.5% on average for outside tests.
Keywords :
Markov processes; optical character recognition; picture processing; OCR; decoding; hidden Markov model; learning; optical Chinese character recognition; optical character recognition; probability;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19900982
