loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2
Combining Online and Offline Handwriting Recognition
Edinburgh, Scotland
August 03-August 06
ISBN: 0-7695-1960-1
Alessandro Vinciarelli, Institut Dalle Molle d'Intelligence Artificielle Perceptive
Michael Perrone, IBM T.J. Watson Research Center
This work describes an online handwriting recognition system working in combination with an offline recognizer. The online input data is first transcribed by the online recognizer, then converted into an offline bitmap and recognized by the offline system. The outputs of the two recognizers are then combined probabilistically resulting in a classifier out-performing both individual systems. Experiments were performed over a database of single digits. The error rate of the online recognizer is reduced by 43% when the combination with the offline system is applied.
Citation:
Alessandro Vinciarelli, Michael Perrone, "Combining Online and Offline Handwriting Recognition," icdar, vol. 2, pp.844, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003
Usage of this product signifies your acceptance of the Terms of Use.