Handwritten character recognition based on hybrid neural networks

Peng Wang; Guangmin Sun; Xinming Zhang

doi:10.1117/12.441669

20 September 2001 Handwritten character recognition based on hybrid neural networks

Peng Wang, Guangmin Sun, Xinming Zhang

Proceedings Volume 4555, Neural Network and Distributed Processing; (2001) https://doi.org/10.1117/12.441669
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

A hybrid neural network system for the recognition of handwritten character using SOFM,BP and Fuzzy network is presented. The horizontal and vertical project of preprocessed character and 4_directional edge project are used as feature vectors. In order to improve the recognition effect, the GAT algorithm is applied. Through the hybrid neural network system, the recognition rate is improved visibly.

Citation Download Citation

Peng Wang, Guangmin Sun, and Xinming Zhang "Handwritten character recognition based on hybrid neural networks", Proc. SPIE 4555, Neural Network and Distributed Processing, (20 September 2001); https://doi.org/10.1117/12.441669

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