Network-based approach to korean handwriting analysis

摘要

It is well known that the stochastic approach using the HMM and dynamic programming-based search is particularly suited to the analysis of time series signals including on-lime handwriting. The starting point of this research is a network of HMMs which models the whole set of characters. Then it is followed by the assertion that the HMM for the on-line script can be applied to not only on-line character recognition but Also to the handwriting synthesis and even pen-trajectory recovery in off-line charac- Ter images.