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FLAIRS
2001

Multiple Predicate Learning for Document Image Understanding

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Multiple Predicate Learning for Document Image Understanding
Documentimageunderstandingdenotesthe recognition of semanticallyrelevant componentsin the layout extracted froma documentimage.This recognitionprocessis based on somevisual models,whosemanualspecification can be a highlydemandingtask. In order to automaticallyacquire these models, wepropose the application of machine learning techniques. In this paper, problemsraised by possible dependenciesbetweenconceptsto be learned are illustrated andsolvedwitha computationalstrategy based onthe separate-and-parallel-conquersearch. Theapproach is tested ona set of real multi-pagedocumentsprocessedby the systemWISDOM++.Newresults confirmthe validity of the proposedstrategy and showsomelimits of the machinelearningsystemusedin this work.
Floriana Esposito, Donato Malerba, Francesca A. Li
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where FLAIRS
Authors Floriana Esposito, Donato Malerba, Francesca A. Lisi
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