Handwritten Chinese Character Recognition Technology based on CMAC Neural Network

DOI

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.

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  - 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  - Proceedings of the AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
PB  - Atlantis Press
SP  - 64
EP  - 68
SN  - 1951-6851
UR  - https://doi.org/10.2991/wiet-13.2013.15
DO  - 10.2991/wiet-13.2013.15
ID  - Shen2013/12
ER  -