Title :
On-line recognition of run-on Korean characters
Author :
Kim, Pyeoung Kee ; Kim, Hang Joon
Author_Institution :
Dept. of Comput. Sci., Pusan Women´´s Univ., South Korea
Abstract :
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
Keywords :
character recognition; character sets; feature extraction; character separation rules; cursive stroke extraction; extended primitive strokes; fuzzy membership functions; generalized character list; on-line character recognition; positional relations; run-on Korean characters; stroke code sequence; target character searching; Character recognition; Computer science; Fuzzy sets; Handwriting recognition; Hardware; Shape; Speech recognition; Testing; Writing;
Conference_Titel :
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-8186-7128-9
DOI :
10.1109/ICDAR.1995.598943
