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Extraction of delta-lognormal parameters from handwriting strokes

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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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Authors and Affiliations

  1. Département de Génie Électrique, Laboratoire Scribens, École Polytechnique de Montréal, P. O. Box 6079, Station Centre-Ville, Montréal, QC, H3C 3A7, Canada

    Réjean Plamondon & Moussa Djioua

  2. Department of Mathematics and Computer Science, Alabama State University, Montgomery, AL, 36104, USA

    Xiaolin Li

Authors
  1. Réjean Plamondon
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  2. Xiaolin Li
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  3. Moussa Djioua
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Correspondence to Réjean Plamondon.

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Plamondon, R., Li, X. & Djioua, M. Extraction of delta-lognormal parameters from handwriting strokes. Front. Comput. Sc. China 1, 106–113 (2007). https://doi.org/10.1007/s11704-007-0009-0

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  • DOI: https://doi.org/10.1007/s11704-007-0009-0

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