Handwritten character recognition based on hybrid neural networks
Peng Wang, Guangmin Sun, Xinming Zhang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
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.