On-line recognition of run-on Korean characters

The authors propose an efficient method for on-line recognition of run-on Korean characters. The method uses a set of extended primitive strokes and fuzzy membership functions to extract cursive strokes. To separate a character from run-on characters they construct character separation rules and a generalized character list. With a sequence of stroke codes and their positional relations computed, the method searches the target character on a generalized character list. A test with 17500 characters shows a recognition rate of 98.4% with a speed of 0.3 second per character.