A nonlinear normalization method for handprinted kanji character recognition-line density equalization

Abstract

A nonlinear normalization method called the line density equalization is proposed in which a resampling is done so as to equate the product of a local line density and a (variable) sampling pitch. Consequently, the line density in the space is homogenized, the efficiency of utilization of the space is increased, and a stable normalization is obtained for partially irregular shape variations. The method was applied to handprinted kanji character recognition, and its effectiveness was demonstrated.<>