Defining writer's invariants to adapt the recognition task
| Autor: | Laurent Heutte, A. Nosary, Thierry Paquet, Yves Lecourtier |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
Computer science
business.industry Intelligent character recognition media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Context (language use) computer.software_genre Lexicon Intelligent word recognition Handwriting Reading (process) ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Artificial intelligence business Adaptation (computer science) computer Natural language processing media_common |
| Zdroj: | ICDAR |
| DOI: | 10.1109/icdar.1999.791900 |
| Popis: | Investigates the automatic reading of unconstrained omni-writer handwritten texts. This paper shows how to endow the reading system with adaptation faculties for each writer's handwriting. The adaptation principles are of major importance for making robust decisions when neither simple lexical nor syntactic rules can be used, e.g. for a free lexicon or for full text recognition. The first part of this paper defines the concept of writer's invariants. In the second part, we explain how the recognition system can be adapted to a particular handwriting by exploiting the graphical context defined by the writer's invariants. This adaptation is guaranteed, thanks to the writer's invariants, by activating interaction links over the whole text between the recognition procedures for word entities and those for letter entities. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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