A Complete Bangla Optical Character Recognition System: An Effective Approach
Tasnim Ahmed, Md Nishat Raihan, Rafsanjany Kushol, Md Sirajus Salekin · 2019
Bangla character recognition is a significant field of research because Bangla is the most widely used language in the Indian subcontinent and eighth most used language for the written document. Research on Bangla character recognition has been started since the mid-1980s. This report describes a complete Optical Character Recognition (OCR) system for scripted Bangla characters. This paper proposes a new recognition system for scripted Bangla characters. We used a Convolutional Neural Network to build the model which identifies individual Bangla characters. From an image, the lines, words, and characters are segmented based on empty space. We also used binarization, noise reduction and other techniques to improve accuracy. Finally, we have been able to achieve a very impressive accuracy rate in the image to text conversion and by far the highest accuracy rate in scripted character detection.