Optical Character Recognition for Marathi Language using Deep Convolutional Neural Network

Optical Character Recognition (OCR) is currently a developing idea provid-ing variety of advantages under its domain. It is the most basic stage of any document analysis system. OCR systems for English are available in abundance. But, applica-tion of OCR in Devanagari script isn’t so much of an explored portion. In a country like India, where most of the legal ancient documents are printed in the Devanagari script, the requirement is massive so it is important to create a commercially available software solution. This paper proposes a novel framework to recognize printed Mara-thi characters. It uses Deep Convolution Neural Networks. This Deep CNN algorithm will result in increased accuracy for pattern matching and overcome classification problems. The self-made dataset covers most of the characters present that makes it accurate predictions even more efficient. It also increases processing speed of charac-ter recognition and helps to compress the size of storage of the record, thus saving space.