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Read2Me: A Cloud- based Reading Aid for the Visually Impaired

RA. Thomas1 , R. Ramanan2 , RA. Roy3 , S. Elisabath4

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-4 , Page no. 88-92, Apr-2017

Online published on Apr 30, 2017

Copyright © RA. Thomas, R. Ramanan, RA. Roy, S. Elisabath . 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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How to Cite this Paper

IEEE Style Citation: RA. Thomas, R. Ramanan, RA. Roy, S. Elisabath, “Read2Me: A Cloud- based Reading Aid for the Visually Impaired,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.4, pp.88-92, 2017.

MLA Style Citation: RA. Thomas, R. Ramanan, RA. Roy, S. Elisabath "Read2Me: A Cloud- based Reading Aid for the Visually Impaired." International Journal of Computer Sciences and Engineering 5.4 (2017): 88-92.

APA Style Citation: RA. Thomas, R. Ramanan, RA. Roy, S. Elisabath, (2017). Read2Me: A Cloud- based Reading Aid for the Visually Impaired. International Journal of Computer Sciences and Engineering, 5(4), 88-92.

BibTex Style Citation:
@article{Thomas_2017,
author = {RA. Thomas, R. Ramanan, RA. Roy, S. Elisabath},
title = {Read2Me: A Cloud- based Reading Aid for the Visually Impaired},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2017},
volume = {5},
Issue = {4},
month = {4},
year = {2017},
issn = {2347-2693},
pages = {88-92},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1247},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1247
TI - Read2Me: A Cloud- based Reading Aid for the Visually Impaired
T2 - International Journal of Computer Sciences and Engineering
AU - RA. Thomas, R. Ramanan, RA. Roy, S. Elisabath
PY - 2017
DA - 2017/04/30
PB - IJCSE, Indore, INDIA
SP - 88-92
IS - 4
VL - 5
SN - 2347-2693
ER -

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Abstract

Reading is essential in our daily life. For the visually-impaired segment of the population, the inability to read has a substantive negative impact on their quality of life. Printed text (books, magazines, menus, labels, etc.) still represents a sizable portion of the information this group needs to have unrestricted access to. Hence, developing methods by which text can be retrieved and read out loud to the blind is critical. We use the computational power of resources made available by cloud computing providers for real-time image processing. There are many techniques which are used for navigating the visually challenged people, navigation in real time traffic is the main problem. The extracted text of various fonts and sizes then can be recognized individually and then combined in a word giving its output as audio using Text-to-speech using the SAPI libraries.

Key-Words / Index Term

SONAR,GPS,Navigation,Light Sensing,Pulse Sensing,Cloud,Assistive text reading,Binerization,OCR,Text-to-speech,Mobile cloud computing,pedistrial signal

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