This paper proposes a sequential coupling of a Hidden Markov Model (HMM) recognizer for offline handwritten English sentences with a probabilistic bottom-up chart parser using Sto...
Recognition of unconstrained handwritten text is still a challenge. In this paper we consider a new problem, which is the recognition of notes written on a whiteboard. Our recogni...
This paper describes stochastic modeling of pencoordinate information in HMMs with structured character pattern representation (SCPR) for on-line Japanese handwriting recognition....
Akihito Kitadai, Gleidson Pegoretti da Silva, Junk...
It is generally agreed that an on-line recognition system is always reliable than an off-line one. It is due to the availability of the dynamic information, especially the writing...
Standard cursive handwriting recognition is based on a language model, mostly a lexicon of possible word hypotheses or character n-grams. The result is a list of word alternatives...