Advancements in Optical Character Recognition (OCR) for India Scripts: A Review

Jagin M. Patel¹ , Bharat C. Patel² , Manish M. Kayasth³

Section:Review Paper, Product Type: Journal-Paper
Vol.7 , Issue.1 , pp.23-29, Feb-2019

Online published on Feb 28, 2019

Copyright Β© Jagin M. Patel, Bharat C. Patel, Manish M. Kayasth . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Optical character recognition (OCR) has been the subject of extensive study, and during the past few decades, many publications have been written about it. India is a linguistically diverse country with numerous scripts, including Devanagari, Bengali, Tamil, Gujarati and many more. There are now many commercial OCR systems on the market. However, the majority of these systems support English, Chinese, Japanese, etc. Despite India having many major scripts, there are not many studies on character identification in the Indian language. This review discusses recent research and developments in OCR techniques for Indian scripts, focusing on both printed and handwritten text recognition.

Key-Words / Index Term :
OCR survey, Indian script OCR

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