DocumentCode
383405
Title
Efficient estimation of pen trajectory from off-line handwritten words
Author
Al-Ohali, Y. ; Cheriet, Mohamed ; Suen, Ching
Author_Institution
CENPARMI, Concordia Univ., Montreal, Que.
Volume
1
fYear
2002
fDate
2002
Firstpage
323
Abstract
This paper presents an easy and efficient method to estimate the pen trajectory based on minimizing the pen movement. Given start and end vertices, the complexity of the proposed algorithm is linear. In addition, the algorithm clearly identifies alternatives that do not affect the overall length of the pen trajectory, making enough room for other criteria, e.g. vision rules, to be applied.
Keywords
computational complexity; handwritten character recognition; minimisation; trees (mathematics); computational complexity; graph representation; handwriting words recognition; off-line images; pen movement; pen trajectory estimation; traversal algorithm; tree transformation; Image motion analysis; Information systems; Intelligent sensors; Intelligent systems; Layout; Motion detection; Motion estimation; Optical sensors; Parametric statistics; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1044705
Filename
1044705
Link To Document