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Scene Text Extraction using Stroke Width Transform

K. Esther Amulya1 , P. Sanoop Kumar2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 375-379, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.375379

Online published on Jun 30, 2018

Copyright © K. Esther Amulya, P. Sanoop Kumar . 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: K. Esther Amulya, P. Sanoop Kumar, “Scene Text Extraction using Stroke Width Transform,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.375-379, 2018.

MLA Style Citation: K. Esther Amulya, P. Sanoop Kumar "Scene Text Extraction using Stroke Width Transform." International Journal of Computer Sciences and Engineering 6.6 (2018): 375-379.

APA Style Citation: K. Esther Amulya, P. Sanoop Kumar, (2018). Scene Text Extraction using Stroke Width Transform. International Journal of Computer Sciences and Engineering, 6(6), 375-379.

BibTex Style Citation:
@article{Amulya_2018,
author = {K. Esther Amulya, P. Sanoop Kumar},
title = {Scene Text Extraction using Stroke Width Transform},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {375-379},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2190},
doi = {https://doi.org/10.26438/ijcse/v6i6.375379}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.375379}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2190
TI - Scene Text Extraction using Stroke Width Transform
T2 - International Journal of Computer Sciences and Engineering
AU - K. Esther Amulya, P. Sanoop Kumar
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 375-379
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

The presence of textual components in images is of specific interest which can be extracted using several extraction methods. These components can be helpful for many applications like assisting visually impaired, translator tourists, and robotic navigation in urban areas. The text extraction methods can be classified into three categories: region based, texture based and hybrid method. Extraction based on a region can be further divided into connected component based and edge based method. In spite of numerous scene text detection methods available, ‘text extraction’ remains unsuccessful. Many issues like different fonts, size, colors, and background noise due to the presence of trees, bricks which are similar to text like objects make text detection difficult. In this paper, the scene text extraction is performed by detecting the edges using canny edge detection algorithm. Then stroke width transform is applied on an edge image with a small yet effective modification in second pass followed by connected component labelling algorithm. The labelled components are then clustered based on the number of pixels available in a particular label. And finally the extracted text is recognized using Google’s open source optical character recognition (OCR) engine ‘Tesseract’.

Key-Words / Index Term

Text extraction, stoke width, connected component, textual components

References

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