A Bayesian Bi-gram Scheme for HMM online handwriting recognition algorithm

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2001-January, Issue , 2001, Pages 1012-1016

  Hasegawa, T ^a   Akamatsu, K ^a   Matsumoto, T ^a  

^a WASEDA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS;

BAYESIAN; ONLINE CHARACTER RECOGNITION; ONLINE HANDWRITING RECOGNITION; PEN INPUT;

CHARACTER RECOGNITION;

EID: 84893449145     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2001.953938     Document Type: Conference Paper

References (5)

1. K. Takahashi, H. Yasuda and T. Matsumoto. A Fast HMM Algorithm for On-line Handwritten Character Recognition., 4th ICDAR97, Proceedings Vol. 1, pp. 369-375(1997)
2. H. Yasuda, T. Takahashi and T. Matsumoto. A Discrete HMM For Online Handwriting Recognition., International Journal of Pattern Recognition and Artificial Intelligence, Vol. 14, No. 5, pp. 675-688(2000)
3. R. Koehle, T. Matsumoto. Pruning Algorithms for HMM On-line Handwritten Recognition., Technical Report of IEICE, PRMU97-5, pp. 33-39(1997)
4. M. Nakagawa. TUAT Nakagawa Lab. HANDS-kuchibue-d-97-06, Tokyo University of Agriculture and Technology (1996).
5. Aozora-Bunko URL: http://www.aozora.gr.jp