Title :
A neural network approach for Chinese character recognition
Author :
Wang, Sheng-De ; Pan, Chung-Chi
Abstract :
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
Keywords :
character recognition; neural nets; self-adjusting systems; Chinese characters; hierarchical processing; neural network model; nonalphabetic; pattern recognition; primitives; two-dimensional features;
Conference_Titel :
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/IJCNN.1990.137810
