EkushNet: Using Convolutional Neural Network for Bangla Handwritten Recognition

EkushNet is the first research which can recognize Bangla handwritten basic characters, digits, modifiers, and compound characters. Handwritten recognition is one of the most interesting issue in present time due to its variant applications and help to make the old form and information digitization and reliable. In spite of, there is no single model which can classify all types of Bangla characters. One of most common reason conducting with handwritten scripts is big challenge because of every person has unique style to write and also has different shape and size. Therefore, EkushNet is proposed a model which help to recognize Bangla handwritten 50 basic characters, 10 digits, 10 modifiers and 52 mostly used compound characters. The proposed model train and…