17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
Rejection Strategies for Offline Handwritten Sentence Recognition
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
This paper investigates three different rejection strategies for offline handwritten sentence recognition. The rejection strategies are implemented as a postprocessing step of a Hidden Markov Model based text recognition system and are based on confidence measures derived from a list of candidate sentences produced by the recognizer. The better performing confidence measures make use of the fact that the recognizer integrates a word bigram language model. Experimental results on extracted sentences from the IAM database validate the effectiveness of the proposed rejection strategies.
Citation:
Matthias Zimmermann, Roman Bertolami, Horst Bunke, "Rejection Strategies for Offline Handwritten Sentence Recognition," icpr, vol. 2, pp.550-553, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004