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Published in:

Volume 7 Issue 7
July-2020
eISSN: 2349-5162

Unique Identifier

JETIR2007357

Page Number

458-461

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Title

Text Detection and Text Recogonition in MultiScript

ISSN

2349-5162

Cite This Article

"Text Detection and Text Recogonition in MultiScript", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.458-461, July-2020, Available :http://www.jetir.org/papers/JETIR2007357.pdf

Abstract

Text is one of the amazing inventions of human. It acts as a bridge between knowledge gainer and knowledge giver. Text can give us the life for what we see. In a field of Computer Vision, text detection and recogoniton plays a vital role in achieving the intelligence for machine. As a human text detection is an easy task. But an achieving that machine is an crucial task. The main objective is to integrate text detection and recognition as one thing. The System consists of 4 modules. They are 1)Text Detection 2)Preprocess the Detected part 3)Text Recogonition 4)Exporting as Documents. The first part is text detection by using Efficiency Accuracy Scene Text Detector and obtaining region of interest. The efficiency accuracy scene text detector contains of two steps only. A first step is to apply Fully Convolution Network to produce text regions. A second step is to apply non-maxima suppression to avoid multiple region of interest. The second part is preprocess the region of interest for increasing the efficiency of recogoniton. This is done by applying threshold to easily separate text from background and apply Gaussian blur for it. The third part is text recogonition by using tesseract OCR. The fourth part is exporting text into documents format by using docx, pypdf package.

Key Words

Text Detection, Text Recogoniton

Cite This Article

"Text Detection and Text Recogonition in MultiScript", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp458-461, July-2020, Available at : http://www.jetir.org/papers/JETIR2007357.pdf

Publication Details

Published Paper ID: JETIR2007357
Registration ID: 235092
Published In: Volume 7 | Issue 7 | Year July-2020
DOI (Digital Object Identifier):
Page No: 458-461
ISSN Number: 2349-5162

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Cite This Article

"Text Detection and Text Recogonition in MultiScript", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp458-461, July-2020, Available at : http://www.jetir.org/papers/JETIR2007357.pdf




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