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(PDF) Cursive script segmentation with neural confidence
To increase the efficiency of the proposed approach, an Artificial Neural Network is trained with sig-nificant number of valid segmentation points for cursive handwritten words. Trained neural ...
 CURSIVE SCRIPT SEGMENTATION WITH NEURAL CONFIDENCE
neural network for the character segmentation of unconstrained handwritten words. The proposed approach performs character segmentation accurately at high speed; however,
Off-line cursive script recognition: current advances ...
Rehman A, Dzulkifli M (2008) A simple segmentation approach for unconstrained cursive handwritten words in conjunction with the neural network. Int J Image Process 2(3): 29–35 Google Scholar
(PDF) Implicit Vs Explicit based Script Segmentation and ...
Unconstrained Cursive Handwritten Words in Conjunction with the Neural ... In this approach simple character segmentation is performed by using single vertical scan applied on a segmented line ...
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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