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Zimmermann, M.; Bertolami, R.; Bunke, H.
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004, 2004, Volume: 2Conference Proceeding
This work 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.
