PT Unknown
AU David Fernandez
   Simone Marinai
   Josep Llados
   Alicia Fornes
TI Contextual Word Spotting in Historical Manuscripts using Markov Logic Networks
BT 2nd International Workshop on Historical Document Imaging and Processing
PY 2013
BP 36
EP 43
DI 10.1145/2501115.2501119
AB 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.
ER