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2020 | OriginalPaper | Chapter

Text Attentional Character Detection Using Morphological Operations: A Survey

Authors : S. Arun Kumar, A. Divya, P. Jeeva Dharshni, M. Vedharsh Kishan, Varun Hariharan

Published in: New Trends in Computational Vision and Bio-inspired Computing

Publisher: Springer International Publishing

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Abstract

This paper reads on the possibility of using morphological operations to specify out a text from image using the basic mathematical grayscale morphology operations to make the text conspicuous and to use the artificial neural network methods to recognize the text from the image without any loss of texts from image even if the surface of the foreground-background combination is not properly defined. So as to make sure even in cases of unshaped background surfaces, light flares upon the foreground text, blurry or low-quality text scenes, the possibility of recognising the text from the natural scene is high and viable.

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Literature
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Tong He, Weilin Huang, Yu Qiao, and Jian Yiao, Text-Attentional Convolutional Neural Network for Scene Text Detection, 2016, IEEE Transactions on Image Processing.
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Metadata
Title
Text Attentional Character Detection Using Morphological Operations: A Survey
Authors
S. Arun Kumar
A. Divya
P. Jeeva Dharshni
M. Vedharsh Kishan
Varun Hariharan
Copyright Year
2020
Publisher
Springer International Publishing
Book
New Trends in Computational Vision and Bio-inspired Computing

Print ISBN: 978-3-030-41861-8

Electronic ISBN: 978-3-030-41862-5

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-41862-5_39

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