Model-based online handwritten digit recognition
Xiaolin Li, Réjean Plamondon, Marc Parizeau · 2002
Presents a hidden Markov model (HMM) based approach to online handwritten digit recognition using stroke sequences. In this approach, a character instance is represented by a sequence of symbolic strokes, and the representation is obtained by component segmentation and stroke classification. The component segmentation is based on the delta lognormal model of handwriting generation. The symbolic strokes are used for HMM multiple observation training or recognition. A training and recognition experiment has been conducted using the above techniques.