DocumentCode
2500234
Title
Why handwriting segmentation can be misleading?
Author
Plamondon, Réjean ; Guerfali, Wacef
Author_Institution
Dept. de Genie Electr. et Genie Inf., Ecole Polytech. de Montreal, Que., Canada
Volume
4
fYear
1996
fDate
25-29 Aug 1996
Firstpage
396
Abstract
This paper presents a handwriting generation model based on a kinematic theory of rapid human movements. Handwriting is described as the vectorial sum of formal strokes. These strokes are characterized by a velocity profile that can be described by a delta-lognormal equation. The segmentation algorithm that results from this model allows a comparison of this formal approach with some operational and simpler segmentation methods, in the context of the unicity of the allograph representation
Keywords
handwriting recognition; image segmentation; kinematics; log normal distribution; allograph representation; delta-lognormal equation; formal strokes; handwriting generation model; handwriting segmentation; kinematic theory; rapid human movements; velocity profile; Application software; Computer applications; Context modeling; Data acquisition; Data mining; Electronic mail; Equations; Kinematics; Neuromuscular; Velocity control;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.547453
Filename
547453
Link To Document