Samy Bengio, Alessandro Vinciarelli
This work presents the application of HMM adaptation techniques to the problem of Off-Line Cursive Script Recognition. Instead of training a new model for each writer, one first creates a unique model with a mixed database and then adapts it for each diffe ...
IDIAP2001