Toward developing a method of high accuracy character recognition for poorly handwritten Kanii characters.

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We developed a quantification method to assess the legibility of handwritten Kanji characters. The index of legibility deriving from this method corresponded to the results of psychological experiments. Sample characters were 528 handwritten Kanji characters selected from signatures written by 280 students. Other 33 participants were asked to classify these characters into three levels of legibility: Well ・ Ordinary ・ Poor. Then a quantification method of legibility of handwritten Kanji characters was introduced. This method adopted some variables corresponding to the property of human cognition: global features and local features of characters. With this method, we could predict human decision about legibility of handwritten Kanji characters at about 90% precision level. For example, the index of this method showed quantitatively that there were some handwritten characters having higher legibility than block letters. Next, we analyzed patterns of the eye movement during the character recognition task. The stimuli were block-letter, well-hand written, and poorly-handwritten Kanji characters. The percentage of correct recognition was highest with the block-letter, second highest with the well-hand written, and lowest with the poorly-handwritten characters. There was a tendency that the number of fixation went higher in accordance with the increase of the poor handwriting index, which the authors had invented. In conclusion, the validity of this index was confirmed. We believe this index is an useful measure to research the high accuracy recognition system of handwritten Kanji characters.