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.
Creation of classifier ensembles for handwritten word recognition using feature selection algorithms
2002-01-01
297584 byte
Conference paper
Electronic Resource
English
Creation of Classifier Ensembles for Handwritten Word Recognition Using Feature Selection Algorithms
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