Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

Scene Text Detection & Language Translation Using SWT and EBMT

Authors
S. Khandait, P. Khandait, P. Jambhulkar
Corresponding Author
S. Khandait
Available Online December 2016.
DOI
https://doi.org/10.2991/iccasp-16.2017.79How to use a DOI?
Keywords
Word segmentation, text extraction, text detection, character recognition, localization.
Abstract
In recent years, the popularity of portable devices for capturing images, video, text extraction, etc. become key problems to detect and recognize the text in images. Extraction of text information from images or scene involves binary, text detection, text localization, word segmentation, and enhancement and character recognition. But there are variations involved in text such as font style, font size, orientation, alignment, reflections and illumination effect, hybrid background and low contrast image make text extraction process too difficult and more challenging. A large number of approaches and methods have been proposed to address this problem but still none of them are perfect. This paper presents an effective approach where we come up with hybrid approach that combines SWT with OCR for text detection and recognition in an image and EBMT to translate detected text into Hindi language. General challenges for performing scene text detection are also discussed.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-305-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccasp-16.2017.79How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - S. Khandait
AU  - P. Khandait
AU  - P. Jambhulkar
PY  - 2016/12
DA  - 2016/12
TI  - Scene Text Detection & Language Translation Using SWT and EBMT
BT  - International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
SP  - 540
EP  - 548
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasp-16.2017.79
DO  - https://doi.org/10.2991/iccasp-16.2017.79
ID  - Khandait2016/12
ER  -