Ninth International Workshop on Frontiers in Handwriting Recognition (2004)
Kokubunji, Tokyo, Japan
Oct. 26, 2004 to Oct. 29, 2004
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IWFHR.2004.88
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.
Alessandro L. Koerich, "Rejection Strategies for Handwritten Word Recognition", Ninth International Workshop on Frontiers in Handwriting Recognition, vol. 00, no. , pp. 479-484, 2004, doi:10.1109/IWFHR.2004.88