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- W2150524641 abstract "In this paper we describe a system that recognizes online Arabic handwritten characters. In this system, a fuzzy neural network is used to classify characters. The characters used in this system were segmented from cursive handwriting that are modelled by a theory of movement generation. Based on this theory, the features extracted from each character are the neuro-physiological parameters of the equation describing the curvilinear velocity of the script. For each character presented to the system, a fuzzy membership is assigned to each output of the neural network." @default.
- W2150524641 created "2016-06-24" @default.
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- W2150524641 date "2002-11-22" @default.
- W2150524641 modified "2023-09-25" @default.
- W2150524641 title "A neuro-fuzzy approach to recognize Arabic handwritten characters" @default.
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- W2150524641 doi "https://doi.org/10.1109/icnn.1997.613998" @default.
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