Individuality analysis of online Kanji handwriting

This paper presents an analysis study of handwritten Kanji characters on a digitizing tablet. To solve a writer identification and verification problem, we have tried to extract significant individual characteristics of a certain set of Kanji characters, which might be defined as feature parameters derived from the knowledge of document examiners. A set of feature parameters in terms of character shape and writing behavior is evaluated by the statistical test. Evaluation results have shown that some feature parameters are good enough to identify and verify a writer himself.