A maximum-likelihood approach to segmentation-based recognition of unconstrained handwriting text

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

Volumn 2001-January, Issue , 2001, Pages 184-188

  Senda, Shuji ^a   Yamada, Keiji ^a  

^a NEC CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

MAXIMUM LIKELIHOOD; PROBABILITY;

BAYESIAN THEOREM; JAPANESE TEXT; LIKELIHOOD FUNCTIONS; MAXIMUM LIKELIHOOD APPROACHES; N-GRAMS; POSTERIOR PROBABILITY; UNCONSTRAINED HANDWRITING; VITERBI SEARCH;

CHARACTER RECOGNITION;

EID: 0008635364     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2001.953780     Document Type: Conference Paper

References (6)

1. T. Fukushima and M. Nakagawa. On-line writing-box-free recognition of handwritten Japanese text considering character size variations. Proc. of 14th ICPR, 11:359-363, 2000.
2. M. Hamanaka, K. Yamada, and J. Tsukumo. On-line Japanese character recognition based on flexible pattern matching method using normalization-cooperative feature extraction. IEICE Trans. Inf. & Syst., E77-D(5):825-831, 1994.
3. H. Mori, H. Aso, and S. Makino. Robust n-gram model of Japanese character and its application to document recognition. IEICE Trans. Inf. & Syst., E79-D(5):471-476, 1996.
4. H. Murase. Online recognition of free-format Japanese handwritings. Proc. of 9th ICPR, pages 1143-1147, 1988.
5. S. Senda, M. Hamanaka, and K. Yamada. Box-free online character recognition integrating confidence values of segmentation, recognition and language processing. Tech. Rep. of IEICE (in Japanese), (PRMU98-138):17-24, 1998.
6. S. Senda, M. Hamanaka, and K. Yamada. Writer adaptive segmentation of handwritten japanese characters. Proc. of 6th IWFHR, pages 495-504, 1998.