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

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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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  -