MZayed47/Handwritten_Bangla_Character_Recognition MZayed47/Handwritten_Bangla_Character_Recognition

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MZayed47/Handwritten_Bangla_Character_Recognition
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MZayed47

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This research work aimed to develop a handwritten character recognition model using a deep convolutional neural network and analyze the three complete datasets: BanglaLekha Isolated, CMATERdb, and Ekush and get significant accuracies for all the character classes, considering the maximum number of samples they have. The aim was to improve the basic structure of OCR based identification of documents and exam papers for the educational institutes with Bangla medium.

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