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Estimating the Effects of Text Genre, Image Resolution and Algorithmic Complexity needed for Sinhala Optical Character Recognition Cover

Estimating the Effects of Text Genre, Image Resolution and Algorithmic Complexity needed for Sinhala Optical Character Recognition

International Journal on Advances in ICT for Emerging Regions (ICTer)
Volume 14 (2021): Issue 3
By: ,   and    
Open Access
|Aug 2021
Authors

Authors

Isuri Anuradha

isa@ucsc.cmb.ac.lk

University of Colombo School of Computing

Chamila Liyanage

cml@ucsc.cmb.ac.lk

University of Colombo School of Computing

Ruvan Weerasinghe

arw@ucsc.cmb.ac.lk

University of Colombo School of Computing
DOI: https://doi.org/10.4038/icter.v14i3.7231 | Journal eISSN: 2550-2794
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Language: English
Page range: 43 - 51
Published on: Aug 4, 2021
Published by: University of Colombo School of Computing
In partnership with: Paradigm Publishing Services
Keywords:
Sinhala OCR,
Optical Character Recognition,
Tesseract,
Deep learning.

© 2021 Isuri Anuradha, Chamila Liyanage, Ruvan Weerasinghe, published by University of Colombo School of Computing
This work is licensed under the Creative Commons License.

Volume 14 (2021): Issue 3
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