Proceedings of the AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)

Handwritten Chinese Character Recognition Technology based on CMAC Neural Network

Authors
Yan Shen, Lina Liu, Guoqiang Li
Corresponding Author
Yan Shen
Available Online December 2013.
DOI
https://doi.org/10.2991/wiet-13.2013.15How to use a DOI?
Keywords
CMAC neural network; Character feature extraction; Direction feature; Spherical feature
Abstract
A character recognition technology based on CMAC (Cerebellar Model Articulation Controller) neural network was proposed, considering the neural network with the characteristics of stability and high distinctiveness. The handwriting recognition system interface was designed and developed, which provide a tools for theoretical application. Simulation results showed that the character recognition technology based on CMAC neural network, compared with that based on BP neural network, was accurate in the character recognition rate and character extraction. Besides, the method in the paper can be applied to any similar sign recognition.
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Proceedings
AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2013
ISBN
978-90786-77-95-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/wiet-13.2013.15How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yan Shen
AU  - Lina Liu
AU  - Guoqiang Li
PY  - 2013/12
DA  - 2013/12
TI  - Handwritten Chinese Character Recognition Technology based on CMAC Neural Network
BT  - AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/wiet-13.2013.15
DO  - https://doi.org/10.2991/wiet-13.2013.15
ID  - Shen2013/12
ER  -