A 2-D HMM METHOD FOR OFFLINE HANDWRITTEN CHARACTER RECOGNITION

摘要

In this paper we consider a hidden Markov mesh random field (HMMRF) for character recognition. The model consists of a "hidden" Markov mesh random field (MMRF) and an overlying probabilistic observation function of the MMRF. Just like the 1-D HMM, the hidden layer is characterized by the initial and the transition probability Distributions, and the observation layer is defined by distribution functions for vector- Quantized (VQ) observations.