Feature extraction by spline function for relaxation matching

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.