Learning Techniques Applied To Multi-Font Character Recognition
J.-J. Cannat, Yves Kodratoff · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1986
In this paper we present the usefulness of symbolic learning techniques for multi-font character recognition. In our already existing models of learning, knowledge is provided and the goal is to find a generalization of given examples, (while for our present model of character recognition knowledge has to be found or rather modified in order to discover a discriminating generalization. An inventive refining of knowledge has allowed to achieve the multi-font character recognition.