A new hybrid approach to large vocabulary cursive handwriting recognition
Gerhard Rigoll, Andreas Kosmala, Daniel Willett · 2002
Presents a hybrid modeling technique that is used for the first time in hidden Markov model-based handwriting recognition. This new approach combines the advantages of discrete and continuous Markov models and it is shown that this is especially suitable for modeling the features typically used in handwriting recognition. The performance of this hybrid technique is demonstrated by an extensive comparison with traditional modeling techniques for a difficult large vocabulary handwriting recognition task.