A Bengali Word Identification and Verification Using Machine Learning Approach

Abstract

The research project is mainly based on image classification. We also showed a path to Optical Character Recognition. Optical Character Recognition (OCR) is basically a technology which can change over a computerized image of content to editable content i.e. it can change digital image to editable text. An OCR by using image processing and classification for Bangla dialect is proposed here. The primary step of this project is that to recognize and detect ‘text’, the usage of image classification and Convolutional Neural Network (CNN) is implemented. Characters are separated from the Corpus and then the most decisive and challenging of the project step is implemented which is the verification of the word or corpus. The Bengali word or corpus is then extracted from the digital image and then it is converted to digital font and then the digital font is compared with our accumulated data set to verify whether the word is absolute or not. To enrich the diversity of Bengali language in the field of technology the project plays a very significant role from its own view.