UGC Approved Journal no 63975

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

Volume 3 Issue 3
March-2016
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1603010


Registration ID:
160045

Page Number

48-51

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Title

A Survey on Digitization using Image to Text to Speech Converter

Abstract

An image to text to speech converter is an application that recognizes text in scene images and synthesizes the text recognized into speech. The image is preprocessed and rectified before text recognition. The recognized text is converted to speech using Natural Language Processing (NLP) and Digital Signal Processing (DSP). Image to text to speech converter which will be useful in digitization as well as for differently abled people with poor eyesight, dyslexia etc.

Key Words

Scene image, Natural Language Processing, Digital Signal Processing

Cite This Article

"A Survey on Digitization using Image to Text to Speech Converter", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 3, page no.48-51, March-2016, Available :http://www.jetir.org/papers/JETIR1603010.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

"A Survey on Digitization using Image to Text to Speech Converter", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 3, page no. pp48-51, March-2016, Available at : http://www.jetir.org/papers/JETIR1603010.pdf

Publication Details

Published Paper ID: JETIR1603010
Registration ID: 160045
Published In: Volume 3 | Issue 3 | Year March-2016
DOI (Digital Object Identifier):
Page No: 48-51
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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