UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1907E62


Registration ID:
221078

Page Number

429-435

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Title

Voice Assisted Text Reading system for Visually Challenged Persons

Abstract

According to world health organization there are 91% peoples are visually challenged people. It is observed that they are still finding it difficult to roll their day to day life and they are difficult to find the medicinal tablet covers on their own. So we propose a technique for visually challenged people or differently abled persons to check whether they are taking a right tablet or not on medical tablet covers. This can help the visually challenged persons to read a printed text on medical strips on strips in vocal form. A web camera is used to capture the text or tablet covers image from the printed text and the captured image is analysed using Tesseract-Optical Character recognition (OCR). The detected text is then converted into speech using a compact open source software speech synthesizer, openCV. Finally, the synthesized speech is produced by the headphone by TTS method. The TTS (Text To Speech) this technology is basically used for conversion of text or image file into voice or in audio form. This TTS technology proposed to help the visually challenged peoples. It includes camera to capture image as a input text, which is then pass to TTS unit. TTS unit installed in raspberry-pi and the output of TTS is amplified by using audio amplifier and then it given to the speaker. The concept of proposed system is the idea of developing a mechanism where in machine will read the characters on medical tablet boxes which will be converted into speech thus enabling visually challenged persons to know the tablet names which they are buying or using. There are three modules in this system: feature extraction, image processing module and voice processing module. Based on these modules, the characters are converted to audio. All capture methods found in OpenCV (capture, capture continuous, capture sequence) has to be considered according their use and abilities

Key Words

Optical character recognition (OCR), Text to Speech (TTS), Open CV, Raspberry pi 3 model B, image Recognition, Web Camera, Speakers

Cite This Article

"Voice Assisted Text Reading system for Visually Challenged Persons", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.429-435, June 2019, Available :http://www.jetir.org/papers/JETIR1907E62.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Voice Assisted Text Reading system for Visually Challenged Persons", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp429-435, June 2019, Available at : http://www.jetir.org/papers/JETIR1907E62.pdf

Publication Details

Published Paper ID: JETIR1907E62
Registration ID: 221078
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 429-435
Country: VIZAG, AP, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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