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An Additive On-line Single Character Recognition Method

Abstract : The on-line isolated character recognition problem is in many respects a mature research area with several in- dustrial applications. When it comes to on-line cursive word recognition progress has been much slower. One of the obstacles refraining simple extension of the val- idated single character recognition methods to cursive word recognition is the fact that most methods rely on various forms of global normalization techniques which makes it difficult to define a fair way of adding such match- ing distances for sequences. This paper proposes a new single character recognition method where focus lies on ensuring the additive property such that it can easily be extended to be used for on-line cursive character recogni- tion in a well-defined way. Various experiments with the new methodology have been conducted on the UNIPEN database with promising results.
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Submitted on : Friday, October 6, 2006 - 8:38:21 AM
Last modification on : Friday, October 6, 2006 - 9:21:51 AM
Long-term archiving on: : Tuesday, April 6, 2010 - 6:37:07 PM


  • HAL Id : inria-00104165, version 1



Jakob Sternby. An Additive On-line Single Character Recognition Method. Tenth International Workshop on Frontiers in Handwriting Recognition, Université de Rennes 1, Oct 2006, La Baule (France). ⟨inria-00104165⟩



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