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 CURSIVE SCRIPT SEGMENTATION WITH NEURAL CONFIDENCE
tation of unconstrained handwritten words. The proposed approach rst seeks the possible character boundaries based on characters geometric features analysis. However, due to inherited ambiguity and a lack of context, few characters are over-segmented. To increase the ffi of the proposed approach, an Arti cial Neural Network is trained with sig-...
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