Lexicon Organization and String Edit Distance Learning for Lexical Post-Processing in Handwriting Recognition
| Autor: | S. Carbonnel, Eric Anquetil |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Computer science
business.industry Intelligent character recognition Speech recognition InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL String (computer science) Word error rate Lexicon computer.software_genre Intelligent word recognition ComputingMethodologies_PATTERNRECOGNITION Handwriting recognition Word recognition ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Edit distance Artificial intelligence business computer Natural language processing |
| Zdroj: | IWFHR |
| DOI: | 10.1109/iwfhr.2004.63 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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