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Combining multiple classifiers based on statistical method for handwritten Chinese character recognition

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3 Author(s)
Lei Lin ; Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China ; Xiao-Long Wang ; Bing-Quan Liu

In various application areas of pattern recognition, combining multiple classifiers is regarded as a method for achieving a substantial gain in performance of systems. The paper presents a method for handwritten Chinese character recognition to combine multiple classifiers based on statistics. Fusion strategies are discussed for providing a basis for combining classifiers. These combination strategies are experimentally tested on an online handwritten Chinese character recognition system. In our experiments, other combination approaches are also involved for comparison.

Published in:

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on  (Volume:1 )

Date of Conference:

2002