Handprinted Kanji character recognition based on flexible template matching

Abstract

Describes a handprinted Kanji character recognition by hierarchical classification based on flexible template matching. In the proposed method, two kinds of flexible template matching are realized by nonlinear shape normalization and by nonlinear pattern matching, based on dynamic programming. The former has the efficiency for local shape restoration and the latter has the efficiency for local shape restoration in handprinted Kanji character variations.<>