Abstract
The character used for the writer recognition was limited to 46 types of hiragana with a lot of curve parts, and the difference of the similarity values by the kind of character was examined. As a result, it has been understood that the similarity values were quite dependent on the type of character. Moreover, it turned out that the similarity value was greatly different according to the type of character. Moreover, it was confirmed that the recognition ratio was improved by using the steady character which writer could write similarly each time. In addition, it was confirmed that there exist the character that was appropriate for recognition even the similarity value was low (e.g. “く”,“へ”,“さ”), and the improper character even the similarity value was high (e.g. “け”,“り”,“し”).
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Adachi, Y., Ozaki, M., Iwahori, Y. (2008). Influence of Character Type of Japanese Hiragana on Writer Recognition. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85565-1_116
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DOI: https://doi.org/10.1007/978-3-540-85565-1_116
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