DocumentCode
1808904
Title
Online handwriting recognition-a survey
Author
Tappert, C.C. ; Suen, C.Y. ; Wakahara, T.
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fYear
1988
fDate
14-17 Nov 1988
Firstpage
1123
Abstract
The state of the art of online handwriting recognition is surveyed based on an extensive review of the literature. Shape recognition algorithms, preprocessing and postprocessing techniques, experimental systems, and commercial products are examined. It is found that online recognizers, except for bar-code readers and other specialized equipment, are not applicable to machine-printed characters
Keywords
character recognition; character recognition equipment; character recognition equipment; commercial products; experimental systems; online handwriting recognition; postprocessing techniques; preprocessing techniques; shape recognition; Character recognition; Handwriting recognition; Humans; Ink; Keyboards; Laboratories; Natural languages; Optical character recognition software; Shape; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28459
Filename
28459
Link To Document