Feature selection algorithms for the generation of multiple classifier systems and their application to handwritten word recognition
نویسندگان
چکیده
The study of multiple classifier systems has become an area of intensive research in pattern recognition recently. Also in handwriting recognition, systems combining several classifiers have been investigated. In this paper new methods for the creation of classifier ensembles based on feature selection algorithms are introduced. Those 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. 2004 Published by Elsevier B.V.
منابع مشابه
Creation of classifier ensembles for handwritten word recognition using feature selection algorithms
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عنوان ژورنال:
- Pattern Recognition Letters
دوره 25 شماره
صفحات -
تاریخ انتشار 2004