A novel pair-wise recognition scheme for handwritten characters in the framework of a multi-expert configuration
A novel pair-wise recognition scheme for the recognition of handwritten characters is presented. The recognition scheme is based on using multiple neural networks to process the handwritten characters grouped in pairs. An intelligent combination scheme to combine the decisions of these individually formed and trained neural networks is developed and an overall decision tree for the identification of separate classes is realised. The whole concept is implemented and tested in the context of the classification of handwritten numerals and a substantial performance enhancement is gained.
Indexing termsNeural networks decision combination handwritten character recognition multiple expert classifiers.
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