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Genetical Engineering of Handwriting Representations (2002) [3 citations — 0 self]

by Alexandre Lemieux ,  Re Lemieux ,  Christian Gagne ,  Marc Parizeau
In Proceedings of the Eigth international Workshop on Frontiers in Handwriting Recognition – IWFHR-8
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Abstract:

This paper presents experiments with genetically engineered feature sets for recognition of on-line handwritten characters. These representations stem from a nondescript decomposition of the character frame into a set of rectangular regions, possibly overlapping, each represented by a vector of 7 fuzzy variables. Efficient new feature sets are automatically discovered using genetic programming techniques. Recognition experiments conducted on isolated digits of the Unipen database yield improvements of more than 3% over a previously manually designed representation where region positions and sizes were fixed.

Citations

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7 Active Handwritten Character Recognition using Genetic Programming – Teredesai, Park, et al. - 2001
6 A new fuzzy geometric representation for on-line isolated character recognition – Hebert, Parizeau, et al. - 1998
6 Character recognition experiments using unipen data – Parizeau, Lemieux, et al. - 2001
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