In off-line character recognition, reliable extraction of strokes greatly i
nfluences the overall performance of the system. We propose a novel method
of decomposing a Chinese character into a set of strokes, based on the conc
epts of mathematical morphology. A character is segmented after being thinn
ed using morphological operation. Each segment is expanded by morphological
operations such as elongation, fattening and isotropic expansion then inte
rsected with the original input shape. The expanded segments are merged usi
ng a convexity measure at the final stage. The final merged segments are re
garded as basic strokes of a character. To show the effectiveness of the me
thod, we perform experiments and the results show the validity of the propo
sed method. (C) 1999 Elsevier Science B.V. All rights reserved.