UGC Approved Journal no 63975(19)

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

Volume 9 Issue 4
April-2022
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:
JETIR2204775


Registration ID:
401379

Page Number

h546-h550

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Title

Text Extraction from an Image using CNN

Abstract

The primary goal of this research is to automatically extract text from images and summarise visual information using a deep learning-based technology called Convolutional Neural Network (CNN) for text extraction from images. Target text region identification and classification are two separate phases utilised in text extraction. In the first step, rectangular text-containing zones were discovered, which included neural processing and geometrical limitations. The resulting target text regions were then sent through many layers of CNN, which initially created a convolutional feature map before classifying the candidate regions as text or not-text. As a result, we can extract the text from the given image.

Key Words

Text extraction,Text comments,Image extraction using CNN.

Cite This Article

"Text Extraction from an Image using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h546-h550, April-2022, Available :http://www.jetir.org/papers/JETIR2204775.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

"Text Extraction from an Image using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph546-h550, April-2022, Available at : http://www.jetir.org/papers/JETIR2204775.pdf

Publication Details

Published Paper ID: JETIR2204775
Registration ID: 401379
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: h546-h550
Country: HYDERABAD, TELANGANA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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