Off-line handwritten Chinese character stroke extraction

Abstract

Stroke extraction is of great significance for an offline character recognition system. In this paper, we present an efficient stroke extraction method based on a combination of a simple feature point detection scheme and a novel stroke segment connecting method. The algorithm can rapidly and accurately extract the strokes from the thinned Chinese character images. Experimental results show that over 99% accuracy was achieved on a large data set with over eighteen thousand character strokes.