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On finding optimal parameters of an oscillatory model ofhandwriting

Published online by Cambridge University Press:  11 July 2014

Gaëtan André  and
Frédéric Messine
Gaëtan André
Affiliation:
University of Toulouse, ENSEEIHT-IRIT, 2 rue Camichel, B.P. 7122, 31072 Toulouse Cedex 7, France. . [email protected]; [email protected]
Frédéric Messine
Affiliation:
University of Toulouse, ENSEEIHT-IRIT, 2 rue Camichel, B.P. 7122, 31072 Toulouse Cedex 7, France. . [email protected]; [email protected]
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Abstract

In this paper, we show how optimization methods can be used efficiently to determine theparameters of an oscillatory model of handwriting. Because these methods have to be usedin real-time applications, this involves that the optimization problems must be rapidelysolved. Hence, we developed an original heuristic algorithm, named FHA. This code wasvalidated by comparing it (accuracy/CPU-times) with a multistart method based on TrustRegion Reflective algorithm.

Keywords

Handwriting modelnonlinear programmingheuritic me- thodmultistart method
Type
Research Article
Information
RAIRO - Operations Research , Volume 48 , Issue 4 , October 2014 , pp. 509 - 520
Copyright
© EDP Sciences, ROADEF, SMAI 2014

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References

G. André, www.irit.fr/∼Gaetan.Andre/publications.php.
Coleman, T.F. and Li, Y., An interior trust region approach for nonlinear minimization subject to bounds. SIAM J. Opt. 6 (1993) 418–445. Google Scholar
Coleman, T.F. and Li, Y., On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds. Math. Program. 67 (1994) 189–224. Google Scholar
E. Gilet, Modélisation bayésienne d’une boucle de perception action : Application al’écriture (Bayesian Modelisation of a sensori-motor loop: application to reading and handwriting). Thesis, Joseph, Fourier University, Grenoble, France (2009).
Hollerbach, J.M., An oscillatory theory of handwriting. Biol. Cybern. 156 (1981) 139–156. Google Scholar
Longcamp, M. et al., The imprint of action: motor cortex involvement in visual perception of handwritten letters. NeuroImage 23 (2006) 681–688. Google Scholar
Plamondon, R. et al., Modelling velocity profiles of rapid movements: a comparative study. Biol. Cybern. 69 (1993) 119–128. Google ScholarPubMed
Plamondon, R., On-Line and Off-Line, Handwriting Recognition: A Comprehensive Survey. IEEE Trans. Pattern Anal. Mach. Intell. 22 (2000) 63–84. Google Scholar
Plötz, T. and Fink, G., Markov models for offline handwriting recognition: a survey. Int. J. Doc. Anal. Recogn. (IJDAR) 12 (2009) 169–298. Google Scholar
Viviani, P. and Flash, T., Minimum-jerk, two-thirds power law, and isochrony: converging approaches to movement planning. J. Exp. Psychol. Hum. Percept. Perform. 21 (1995) 32–53. Google ScholarPubMed