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Lexicon organization and string edit distance learning for lexical post-processing in handwriting recognition

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2 Author(s)
Carbonnel, S. ; INSA, IRISA, Rennes, France ; Anquetil, E.

This paper presents an optimized lexical post-processing designed for handwritten word recognition. The aim of this work is to correct recognition and segmentation errors using lexical information from a lexicon. The presented lexical post-processing is based on two phases: in the first phase a lexicon organization is made to reduce the search space into sub-lexicons during the recognition process. The second phase develops a specific edit distance to identify the handwritten word using a selection of the sub-lexicons. The paper exposes two original strategies of lexicon reduction and a new approach to automatically learn an edit distance specifically adapted to the properties of the on-line handwritten word recognition. Experimental results are reported to compare the two lexicon reduction strategies and first results emphasize the impact of the learning process of the new edit distance.

Published in:

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

Date of Conference:

26-29 Oct. 2004