DocumentCode
1511772
Title
Gap metrics for handwritten Korean word segmentation
Author
Kim, S.H. ; Jeong, S. ; Lee, G.S. ; Suen, C.Y.
Author_Institution
Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
Volume
37
Issue
14
fYear
2001
fDate
7/5/2001 12:00:00 AM
Firstpage
892
Lastpage
893
Abstract
A gap-based method for the segmentation of handwritten Korean text lines into separate words is described. Three kinds of gap metrics have been evaluated, to see how much the gap information contributes to the task of handwritten Korean word segmentation
Keywords
feature extraction; handwritten character recognition; gap metrics; handwritten Korean word segmentation; text lines;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20010596
Filename
935122
Link To Document