%0 Conference Proceedings
%T Field Extraction from Administrative Documents by Incremental Structural Templates
%A Marçal Rusiñol
%A T.Benkhelfallah
%A V. Poulain d'Andecy
%B 12th International Conference on Document Analysis and Recognition
%D 2013
%@ 1520-5363
%F Marçal Rusiñol2013
%O DAG; 600.56; 600.045; 605.203; 602.101
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2346), last updated on Thu, 10 Nov 2016 12:12:13 +0100
%X In this paper we present an incremental framework aimed at extracting field information from administrative document images in the context of a Digital Mail-room scenario. Given a single training sample in which the user has marked which fields have to be extracted from a particular document class, a document model representing structural relationships among words is built. This model is incrementally refined as the system processes more and more documents from the same class. A reformulation of the tf-idf statistic scheme allows to adjust the importance weights of the structural relationships among words. We report in the experimental section our results obtained with a large dataset of real invoices.
%U http://refbase.cvc.uab.es/files/RBP2013.pdf
%U http://dx.doi.org/10.1109/ICDAR.2013.223
%P 1100-1104