Chinese Characters Recognition Based on HALCON

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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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  -