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
fDate :
7/5/2001 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20010596
