Saluja_Final thesis - Cherie Lau.pdf (21.11 MB)
Download file

Robust multilingual OCR: from Ancient Indic texts to modern Indian Street signs

Download (21.11 MB)
posted on 2021-03-24, 03:32 authored by Rohit Saluja
Indic Texts often contain out-of-vocabulary (OOV) words leading to significant errors in text scanned with Optical Character Recognition (OCR). We present an interactive framework for adaptively assisting Indic OCR corrections. Subsequently, we propose OCR correction methods for resource-constrained settings, such as multi-OCR consensus, plug-in classifiers, and LSTMs with a fixed delay. Modern Indian street signs and license plates pose an even tougher reading challenge. They often appear in a variety of languages, fonts, sizes, and orientations. We present the first scene text recognition results using multi-headed attention models.


Campus location


Principal supervisor

Mark Carman

Additional supervisor 1

Parag Chaudhuri

Additional supervisor 2

Ganesh Ramakrishnan

Year of Award


Department, School or Centre

Caulfield School of IT

Additional Institution or Organisation



Doctor of Philosophy

Degree Type



Faculty of Information Technology