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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
Matthias Zimmermann, University of Bern, Switzerland
Roman Bertolami, University of Bern, Switzerland
Horst Bunke, University of Bern, Switzerland
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
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