%0 Conference Proceedings
%T Contextual Word Spotting in Historical Manuscripts using Markov Logic Networks
%A David Fernandez
%A Simone Marinai
%A Josep Llados
%A Alicia Fornes
%B 2nd International Workshop on Historical Document Imaging and Processing
%D 2013
%@ 978-1-4503-2115-0
%F David Fernandez2013
%O DAG; 600.056; 600.045; 600.061; 602.006
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2308), last updated on Thu, 10 Nov 2016 12:08:56 +0100
%X Natural languages can often be modelled by suitable grammars whose knowledge can improve the word spotting results. The implicit contextual information is even more useful when dealing with information that is intrinsically described as one collection of records. In this paper, we present one approach to word spotting which uses the contextual information of records to improve the results. The method relies on Markov Logic Networks to probabilistically model the relational organization of handwritten records. The performance has been evaluated on the Barcelona Marriages Dataset that contains structured handwritten records that summarize marriage information.
%U http://refbase.cvc.uab.es/files/FML2013.pdf
%U http://dx.doi.org/10.1145/2501115.2501119
%P 36-43