Dynamics-based active learning for handwritten character recognition

This paper proposes a new efficient learning of a neural network for handwritten character recognition. Like human learning, the proposed learning acquires excellent recognition ability for unknown character patterns only from a small number of typical character patterns. The proposed learning is based on the dynamics of a human´s hand mechanism and has been realized on a neural network. The recognition rates exceed those by a conventional statistical method