Integration Of Visual Inter-word Constraints And Linguistic Knowledge In Degraded Text Recognition

dc.creatorHong, Tao
dc.date1994-05-06
dc.date.accessioned2026-07-07T09:09:14Z
dc.date.available2026-07-07T09:09:14Z
dc.descriptionDegraded text recognition is a difficult task. Given a noisy text image, a word recognizer can be applied to generate several candidates for each word image. High-level knowledge sources can then be used to select a decision from the candidate set for each word image. In this paper, we propose that visual inter-word constraints can be used to facilitate candidate selection. Visual inter-word constraints provide a way to link word images inside the text page, and to interpret them systematically.
dc.description3 pages, PostScript File, to appear in the Proceedings of ACL-94, Student Session
dc.identifierhttps://arxiv.org/abs/cmp-lg/9405012
dc.identifierhttp://arxiv.org/abs/cmp-lg/9405012
dc.identifierIn Proceedings of ACL-94 (Student Session)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/150967
dc.subjectComputation and Language
dc.titleIntegration Of Visual Inter-word Constraints And Linguistic Knowledge In Degraded Text Recognition
dc.typetext

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