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Conference Papers Year : 2010

A novel verification system for handwritten words recognition

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Abstract

In the field of isolated handwritten word recognition, the development of highly effective verification systems to reject words presenting ambiguities is still an active research topic. In this paper, a novel verification system based on support vector machine scoring and multiple reject class-dependent thresholds is presented. In essence, a set of support vector machines appended to a standard HMM-based recognition system provides class-dependent confidence measures employed by the verification mechanism to accept or reject the recognized hypotheses. Experimental results on RIMES database show that this approach outperforms other state-of-the-art approaches.
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Dates and versions

inria-00542675 , version 1 (03-12-2010)

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  • HAL Id : inria-00542675 , version 1

Cite

Laurent Guichard, Alejandro J. Toselli, Bertrand Coüasnon. A novel verification system for handwritten words recognition. International Conference on Pattern Recognition, Aug 2010, Istanbul, Turkey. ⟨inria-00542675⟩
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