Online Character Recognition using Procrustes Matching with Vector Correlation

Abstract

Although a lot of research has been carried out on cursive character recognition, sufficiently high recognition rate has not been obtained. We have studied on online handprinted character &ldquo ;Hiragana” recognition using vector correlation, where patterns are represented by directional data. But, directional data sometimes can not express the geometrical information. As the result, we could not the very high classification rate. In this paper, we use the Procrustes matching together with vector correlation as the classification function. We have obtained the satisfactory recognition result.