Optical Character Recognition (OCR) for Telugu: Database, Algorithm and Application
Abstract
Telugu is a Dravidian language spoken by more than 80 million people worldwide. The optical character recognition (OCR) of the Telugu script has wide ranging applications including education, health-care, administration etc. The beautiful Telugu script however is very different from Germanic scripts like English and German. This makes the use of transfer learning of Germanic OCR solutions to Telugu a non-trivial task. To address the challenge of OCR for Telugu, we make three contributions in this work: (i) a database of Telugu characters, (ii) a deep learning based OCR algorithm, and (iii) a client server solution for the online deployment of the algorithm. For the benefit of the Telugu people and the research community, we will make our code freely available at https://gayamtrishal.github.io/OCR_Telugu.github.io/
Keywords
Cite
@article{arxiv.1711.07245,
title = {Optical Character Recognition (OCR) for Telugu: Database, Algorithm and Application},
author = {Chandra Prakash Konkimalla and Manikanta Srikar Yellapragada and Trishal Gayam and Souraj Mandal and Sumohana S. Channappayya},
journal= {arXiv preprint arXiv:1711.07245},
year = {2018}
}
Comments
Accepted to IEEE International Conference on Image Processing 2018