On-line recognition of limited-vocabulary Chinese character using multiple convolutional neural networks

The authors present a new feature extraction method together with neural network recognition for online Chinese characters. A Chinese character can be represented by a three-dimensional 12 × 12 × 4 array of numbers. Multiple conventional neural networks are used for online small vocabulary Chinese character recognition based on this feature extraction method. One hundred character classes were chosen as an example for recognition. Simulation results show that 98.8% and 94.2% of training examples and test examples were correctly recognized respectively