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Multiple novelty input neural networks for unconstrained handwritten numeral recognition

Multiple novelty input neural networks for unconstrained handwritten numeral recognition

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Multiple novelty input neural networks have been presented. It is shown that this method produces relatively good recognition accuracy for an unconstrained handwritten numeral database.

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