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An Extensive Survey on Text Detection and Recognition

Sheetal Garg1 , Akshatha P S.2 , Kavyashree C.3

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 546-551, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.546551

Online published on Jan 31, 2019

Copyright © Sheetal Garg, Akshatha P S., Kavyashree C. . 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: Sheetal Garg, Akshatha P S., Kavyashree C., “An Extensive Survey on Text Detection and Recognition,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.546-551, 2019.

MLA Style Citation: Sheetal Garg, Akshatha P S., Kavyashree C. "An Extensive Survey on Text Detection and Recognition." International Journal of Computer Sciences and Engineering 7.1 (2019): 546-551.

APA Style Citation: Sheetal Garg, Akshatha P S., Kavyashree C., (2019). An Extensive Survey on Text Detection and Recognition. International Journal of Computer Sciences and Engineering, 7(1), 546-551.

BibTex Style Citation:
@article{Garg_2019,
author = {Sheetal Garg, Akshatha P S., Kavyashree C.},
title = {An Extensive Survey on Text Detection and Recognition},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {546-551},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3540},
doi = {https://doi.org/10.26438/ijcse/v7i1.546551}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.546551}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3540
TI - An Extensive Survey on Text Detection and Recognition
T2 - International Journal of Computer Sciences and Engineering
AU - Sheetal Garg, Akshatha P S., Kavyashree C.
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 546-551
IS - 1
VL - 7
SN - 2347-2693
ER -

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Abstract

This paper analyzes, compares, and contrasts the various methods in text detection and extraction. Existing techniques are categorized as either stepwise or integrated. Text detection and extraction can be categorized into sub-problems including text localization, verification, segmentation and recognition. It gives an elaborate view of the various methods applied for these sub problems. A number of benchmark datasets are discussed in details with their attributes.

Key-Words / Index Term

Text detection, text localization, text recognition, text segmentation, survey

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