Hierarchical synergetic model of multifont character recognition

In order to improve the recognition performance of synergetic neural network , a hierarchical synergetic neural network model for multifont character recognition was proposed. The recognition procedure of hierarchical model is composed of two steps. First, Haken's synergetic neural network decides which synergetic subnetwork the test sample should be input in, then the detailed recognition is carried out by synergetic subnetwork. The tests on many samples from real application show that the new model can improve recognition rate of multifont character recognition effectively. Moreover, its recognition is very quick and fits real-time optical character recognition (OCR) applications. Additionally, the test on noise samples shows the new model has strong robustness.