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.
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;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1044705