An intelligent character recognition system with high accuracy and high speed by integrating image-type and logical-type information processings

An intelligent character recognition system with high accuracy and high speed is realized by integrating image-type and logical-type information processing modules. For image-type information processing, a technique called associative pattern matching is proposed, and its usefulness is verified by experiments. The results show that it is useful for rough classification of input patterns. For logical-type processing, structural analysis of characters is realized by a relaxation matching technique, which is described in detail, and some experimental results are shown. The integration of these two techniques is discussed