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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.

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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: Jun 14 2002 9:24AM by parizeau

     
   
   

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