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Rejection strategies for handwritten word recognition

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1 Author(s)
Koerich, A.L. ; Faculdades Integradas Curitiba, Pontifical Catholic Univ. of Parana, Curitiba, Brazil

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.

Published in:

Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on

Date of Conference:

26-29 Oct. 2004

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