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Extraction of delta-lognormal parameters from handwriting strokes |
| Réean Plamondon1, Moussa Djioua1, Xiaolin Li2 |
| 1.Déartement de Géie Ėectrique, Laboratoire Scribens, Ėole Polytechnique de Montrél, P. O. Box 6079, Station Centre-Ville, Montrél, QC H3C 3A7, Canada; 2.Department of Mathematics and Computer Science, Alabama State University, Montgomery, AL36104, USA; |
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Abstract In the context of the Kinematic Theory of Rapid Human Movement, handwriting strokes are considered to be primitives that reflect the intrinsic properties of the neuromuscular system of a writer as well as the basic control strategies that the writer uses to produce such strokes. The study of these strokes relies on the extraction of the different parameters that characterize a stroke velocity profile. In this paper, we present a new method for stroke parameter extraction. The algorithm is described and evaluated under various testing conditions.
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Issue Date: 05 March 2007
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