The study of multiple classifier systems has become an area of intensive research in pattern recognition. Also in handwriting, recognition, systems combining several classifiers have been investigated. In the paper new methods for the creation of classifier ensembles based on feature selection algorithms are introduced. These new methods are evaluated and compared to existing approaches in the context of handwritten word recognition, using a hidden Markov model recognizer as basic classifier.


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    Title :

    Creation of classifier ensembles for handwritten word recognition using feature selection algorithms


    Contributors:
    Gunter, S. (author) / Bunke, H. (author)


    Publication date :

    2002-01-01


    Size :

    297584 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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