Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)

Chinese Characters Recognition Based on HALCON

Authors
Guangrun Zheng, Kaicheng Li, Lei Yuan
Corresponding Author
Guangrun Zheng
Available Online July 2013.
DOI
10.2991/iccnce.2013.21How to use a DOI?
Keywords
Chinese Characters Recognition, Dynamic Threshold Segmentation, Regional Morphology, Artificial Neural Network
Abstract

This paper presents a fast Chinese character recognition method based on HALCON image processing software. After character image pre-processing, dynamic threshold segmentation method combined with region morphology is used to segment characters, and then construct the feature vector. At last, improved artificial neural network classifier is applied to classify and identify characters. Experimental results show that this method can accelerate the speed Chinese characters recognition system, improve the Chinese characters recognition rate and has strong practicality and feasibility.

Copyright
© 2013, 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 International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
978-90-78677-67-3
ISSN
1951-6851
DOI
10.2991/iccnce.2013.21How to use a DOI?
Copyright
© 2013, 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

TY  - CONF
AU  - Guangrun Zheng
AU  - Kaicheng Li
AU  - Lei Yuan
PY  - 2013/07
DA  - 2013/07
TI  - Chinese Characters Recognition Based on HALCON
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 84
EP  - 86
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.21
DO  - 10.2991/iccnce.2013.21
ID  - Zheng2013/07
ER  -