A neural network approach for Chinese character recognition
Sheng-De Wang Sheng-De Wang, Chung-Chi Pan Chung-Chi Pan · 1990
A neural network model adapted from Fukushima's Neocognitron is applied to the pattern recognition of Chinese characters. Chinese characters are well known for their nonalphabetic and two-dimensional features. Chinese characters are viewed as two-dimensional patterns, and some simple subpatterns, called primitives, are identified for hierarchical processing in a neural network. Simulation results show the feasibility and the effectiveness of this approach