%0 Conference Proceedings
%T Sequential Word Spotting in Historical Handwritten Documents
%A David Fernandez
%A R.Manmatha
%A Josep Llados
%A Alicia Fornes
%B 11th IAPR International Workshop on Document Analysis and Systems
%D 2014
%@ 978-1-4799-3243-6
%F David Fernandez2014
%O DAG; 600.061; 600.056; 602.006; 600.077
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2462), last updated on Thu, 10 Nov 2016 11:52:43 +0100
%X In this work we present a handwritten word spotting approach that takes advantage of the a priori known order of appearance of the query words. Given an ordered sequence of query word instances, the proposed approach performs asequence alignment with the words in the target collection. Although the alignment is quite sparse, i.e. the number of words in the database is higher than the query set, the improvement in the overall performance is sensitively higher than isolated word spotting. As application dataset, we use a collection of handwritten marriage licenses taking advantage of the orderedindex pages of family names.
%U http://refbase.cvc.uab.es/files/FML2014.pdf
%U http://dx.doi.org/10.1109/DAS.2014.18
%P 101-105