Feature extraction by spline function for relaxation matching
Iwao Sekita, Kazuo Toraichi, M. Kamada, R. Mori, Kazuhiro Yamamoto, Hiroyuki YAMADA · 2005
This paper proposes a method of extracting features of handwritten Japanese characters by using spline approximation. This method represents a character by contours expressed by well-approximating functions and steady breakpoints which characterize the connection of the strokes so that it provides proper features for handwritten Japanese character recognition with relaxation matching. Its effectiveness tested on a Japanese character database is also shown.