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Genetical Engineering of Handwriting Representations

Alexandre Lemieux, Christian Gagné and Marc Parizeau

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.

Bibtex:

@inproceedings{Lemieux40,
author    = { Alexandre Lemieux and Christian Gagné and Marc Parizeau },
title     = { Genetical Engineering of Handwriting Representations },
booktitle = { Proc. of the International Workshop on Frontiers in Handwriting Recognition (IWFHR) },
publisher = { IEEE Computer Press },
year      = { 2002 },
month     = { August 6-8 },
location  = { Niagara-On-The-Lake }
}

Last modification: 2002/06/14 by parizeau

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