Title :
Model-based online handwritten digit recognition
Author :
Li, Xiaolin ; Plamondon, Rejean ; Parizeau, Marc
Author_Institution :
Lab. Scribens, Ecole Polytech. de Montreal, Que., Canada
Abstract :
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
Keywords :
handwriting recognition; handwritten character recognition; hidden Markov models; image segmentation; component segmentation; delta lognormal model; handwriting generation; model-based online handwritten digit recognition; stroke classification; stroke sequences; symbolic strokes; training; Angular velocity control; Handwriting recognition; Hidden Markov models; Identity-based encryption; Kinematics; Microwave integrated circuits; Neuromuscular; Power system modeling; Production systems; Shape;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711895
