loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2
Generation of Handwritten Characters with Bayesian network based On-line Handwriting Recognizers
Edinburgh, Scotland
August 03-August 06
ISBN: 0-7695-1960-1
Hyunil Choi, KAIST
Jin H. Kim, KAIST
In this paper, we propose a new character generation method from on-line handwriting recognizers based on Bayesian networks. On-line handwriting recognizers are trained with handwriting samples from many writers. Then, character shapes are generated from given texts by searching the most probable input point sequences. Since Bayesian network based classifiers have large number of parameters for modeling components and their relationships, they generate more natural character shapes than various kinds of hidden Markov models.
Citation:
Hyunil Choi, Sung-Jung Cho, Jin H. Kim, "Generation of Handwritten Characters with Bayesian network based On-line Handwriting Recognizers," icdar, vol. 2, pp.995, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003
Usage of this product signifies your acceptance of the Terms of Use.