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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Rejection Strategies for Handwritten Word Recognition
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
Alessandro L. Koerich, Pontifical Catholic University of Paraná
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.
Citation:
Alessandro L. Koerich, "Rejection Strategies for Handwritten Word Recognition," iwfhr, pp.479-484, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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