Non-uniformly sampled feature extraction method for kanji character recognition

Describes a non-uniform sampling method for obtaining local orientation features to be used in the recognition of Japanese kanji characters, the proposed method determines feature extraction by sampling features one-dimensionally in a direction perpendicular to a given line orientation. Furthermore, it samples features at non-uniform intervals so as to avoid misidentifying two lines in close proximity as a single line. It has been tested with handwritten kanji characters, and the results show a good ability to distinguish such characters, a task which can easily confuse conventional recognition methods that rely on uniform sampling of local orientation features