Handwritten Chinese Character Recognition Technology based on CMAC Neural Network
Yan Shen, Lina Liu, Guoqiang Li
Available Online December 2013.
- https://doi.org/10.2991/wiet-13.2013.15How to use a DOI?
- CMAC neural network; Character feature extraction; Direction feature; Spherical feature
- 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.
- 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 SP - 64 EP - 68 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 -