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Mobile Based OCR Systems: State-of-the-art Survey for Indian Scripts

Ravneet Kaur1 , Dharam Veer Sharma2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 457-461, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.457461

Online published on Apr 30, 2019

Copyright © Ravneet Kaur, Dharam Veer Sharma . 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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IEEE Style Citation: Ravneet Kaur, Dharam Veer Sharma, “Mobile Based OCR Systems: State-of-the-art Survey for Indian Scripts,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.457-461, 2019.

MLA Style Citation: Ravneet Kaur, Dharam Veer Sharma "Mobile Based OCR Systems: State-of-the-art Survey for Indian Scripts." International Journal of Computer Sciences and Engineering 7.4 (2019): 457-461.

APA Style Citation: Ravneet Kaur, Dharam Veer Sharma, (2019). Mobile Based OCR Systems: State-of-the-art Survey for Indian Scripts. International Journal of Computer Sciences and Engineering, 7(4), 457-461.

BibTex Style Citation:
@article{Kaur_2019,
author = {Ravneet Kaur, Dharam Veer Sharma},
title = {Mobile Based OCR Systems: State-of-the-art Survey for Indian Scripts},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {457-461},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4057},
doi = {https://doi.org/10.26438/ijcse/v7i4.457461}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.457461}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4057
TI - Mobile Based OCR Systems: State-of-the-art Survey for Indian Scripts
T2 - International Journal of Computer Sciences and Engineering
AU - Ravneet Kaur, Dharam Veer Sharma
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 457-461
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

Few decades ago, approach to character recognition was limited to desktop scanner. The usability of such system was limited as they were non portable because of large size. With the advent of technology and portable computing devices such as mobile phone, PDA, iPhone etc. new trends of research has emerged, where Mobile phones are the most commonly used electronic device, eliminating the need for bulky devices like scanners, desktops and laptops. The convergence of powerful processors and high resolution cameras on mobile devices has directed the focus of research to development of mobile applications, where image processing applications such as OCR’s are in demand. This paper present State-of-the-Art survey of Character Recognition systems for mobile devices and summarize some commercially available OCR applications.

Key-Words / Index Term

Mobile OCR, Document Image Processing, Text Recognition

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