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Conference Papers Year : 2010

A novel verification system for handwritten words recognition


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


  • HAL Id : inria-00542675 , version 1


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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