Title :
A Bayesian bi-gram scheme for HMM online handwriting recognition algorithm
Author :
Hasegawa, T. ; Akamatsu, Koichiro ; Matsumoto, T.
Author_Institution :
Waseda Univ., Tokyo, Japan
fDate :
6/23/1905 12:00:00 AM
Abstract :
With the advent of advances in pen input devices including PDA, on-line character recognition is becoming increasingly important. This paper proposes a new Bayesian bi-gram scheme for on-line character recognition using HMM
Keywords :
Bayes methods; handwritten character recognition; hidden Markov models; light pens; Bayes formula; Bayesian bi-gram; HMM; PDA; handwriting recognition; on-line character recognition; pen input devices; Bayesian methods; Character recognition; Handwriting recognition; Hidden Markov models; Keyboards; Quantization; Sampling methods; Spatial databases;
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
DOI :
10.1109/ICDAR.2001.953938
