A new integration scheme with multilayer perceptron networks for handwritten Chinese character recognition

Abstract

In this paper, a new integration scheme with multilayer perceptron (MLP) networks is proposed to solve handwritten Chinese character recognition problem. The idea of meta-synthesis is emphasized in this scheme, human intelligence and computer capabilities are combined together through a procedure of two-step supervised learning. Compared with previous integration schemes, this scheme has much better performance and provides a promising way of applying MLP to large vocabulary classification.