Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)

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Tibetan Character Recognition Based on Machine Learning of K-means Algorithm

Authors
Huiwen Gong, Wei Xiang
Corresponding Author
Huiwen Gong
Available Online April 2018.
DOI
10.2991/cmsa-18.2018.78How to use a DOI?
Keywords
artificial intelligence; machine learning; Tibetan character recognition; Tesseract -OCR; K-means algorithm
Abstract

In this paper, we analyze and extract the Tibetan text features structure based on k-means image character recognition algorithm. Through character library file generated from Tessract-ocr training, we improve the accuracy and recognition of image text recognition and extraction and realize the identification of Tibetan.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
April 2018
ISBN
10.2991/cmsa-18.2018.78
ISSN
1951-6851
DOI
10.2991/cmsa-18.2018.78How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Huiwen Gong
AU  - Wei Xiang
PY  - 2018/04
DA  - 2018/04
TI  - Tibetan Character Recognition Based on Machine Learning of K-means Algorithm
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 340
EP  - 342
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.78
DO  - 10.2991/cmsa-18.2018.78
ID  - Gong2018/04
ER  -