Automatically Identifying the Text Name Detection with Speech Output for Blind Persons

Authors(2) :-D.Ramya, K.Sumathi

The camera-based assistive text reading framework to share the information for blind persons to read text name and product packaging from hand-held objects in their day-to-day life is proposed. The work consists of three stages. First is image capturing –by using a mini camera, the text which the user want to read will get captured as an image and have to transfer to the image processing platform. Second is text recognition –by single text recognition algorithm, the text will get filtered from the image in the screen. Third is speech output - the filtered text will be shared into system to get an audio speech output. The entire process is done with the help of MATLAB software.

Authors and Affiliations

ECE Department, SNS College of Technology, Coimabtore, Tamil Nadu, India
ECE Department, SNS College of Technology, Coimabtore, Tamil Nadu, India

Image capturing, Text, Region detection, Character recognition, Speech output, Mat lab software.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2016
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 424-428
Manuscript Number : IJSRSET162264
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

D.Ramya, K.Sumathi, " Automatically Identifying the Text Name Detection with Speech Output for Blind Persons , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.424-428, March-April-2016.
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