In this paper, we propose a new character generationmethod from on-line handwriting recognizers basedon Bayesian networks. On-line handwriting recognizersare trained with handwriting samples from many writers.Then, character shapes are generated from given texts bysearching the most probable input point sequences. SinceBayesian network based classifiers have large number ofparameters for modeling components and their relationships,they generate more natural character shapes thanvarious kinds of hidden Markov models.
