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Kokubunji, Tokyo, Japan
Oct. 26, 2004 to Oct. 29, 2004
ISBN: 0-7695-2187-8
pp: 479-484
Alessandro L. Koerich , Pontifical Catholic University of Paraná
ABSTRACT
In this paper, we investigate different rejection strategies to verify the output of a handwriting recognition system. We evaluate a variety of novel rejection thresholds including global, class-dependent and hypothesis-dependent thresholds to improve the reliability in recognizing unconstrained handwritten words. The rejection thresholds are applied in a post-processing mode to either reject or accept the output of the handwriting recognition system which consists of a list with the N-best word hypotheses. Experimental results show that the best rejection strategy is able to improve the reliability of the handwriting recognition system from about 78% to 94% while rejecting 30% of the word hypotheses.
INDEX TERMS
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CITATION
Alessandro L. Koerich, "Rejection Strategies for Handwritten Word Recognition", IWFHR, 2004, Proceedings. Ninth International Workshop on Frontiers in Handwriting Recognition, Proceedings. Ninth International Workshop on Frontiers in Handwriting Recognition 2004, pp. 479-484, doi:10.1109/IWFHR.2004.88
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