Abstract
In the previous studies, authors proposed a new local arc method with new similarity evaluation function to the off-line writer recognition, and obtained high recognition ratios. However, the calculated similarity values are comparatively close each other. Therefore, it is very difficult to improve the accuracy any more. In this study, it is assumed that the amount of the characteristic features appeared to the curvature distribution may be different as the difference of the character size. Then, similarity values of five character sizes were compared, and the optimum character size for the new local arc method was examined. As a result, it turned out that the similarity values are greatly influenced by the character size, and the best character size and arc chord length are obtained for the writer recognition by the new local arc method.
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Ozaki, M., Adachi, Y., Ishii, N. (2006). Examination of Effects of Character Size on Accuracy of Writer Recognition by New Local Arc Method. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_148
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DOI: https://doi.org/10.1007/11893004_148
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