Bengali Handwritten Character Transformation: Basic to Compound and Compound to Basic Using Convolutional Neural Network
Soarov Chakraborty, Shourav Paul · 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) · 2021
Bengali handwritten character recognization technique faces numerous complexities because of the unusual shape and stroke of the letters. In Bengali scripts, two or more basic characters construct a compound character. So it is challenging for the children to understand how these compound characters have been structured. Here, we recommend a system that can turn these basic characters into a compound character. Also, transfer a compound character into the basic characters by combining deep learning and image processing principles. The identification is begun by preprocessing the image using several image processing techniques, and then a convolutional neural network model is used for the transformation of the characters. Furthermore, the MapReduce technique is introduced for finding the appropriate character. This experiment was done on a dataset of more than 300,000 images and received an 89.20% accuracy rate.