%0 Conference Proceedings
%T Hierarchical graph representation for symbol spotting in graphical document images
%A Klaus Broelemann
%A Anjan Dutta
%A Xiaoyi Jiang
%A Josep Llados
%B Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop
%D 2012
%V 7626
%I Springer Berlin Heidelberg
%@ 0302-9743
%@ 978-3-642-34165-6
%F Klaus Broelemann2012
%O DAG
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2126), last updated on Tue, 18 Oct 2016 13:49:03 +0200
%X Symbol spotting can be defined as locating given query symbol in a large collection of graphical documents. In this paper we present a hierarchical graph representation for symbols. This representation allows graph matching methods to deal with low-level vectorization errors and, thus, to perform a robust symbol spotting. To show the potential of this approach, we conduct an experiment with the SESYD dataset.
%U http://refbase.cvc.uab.es/files/BDJ2012.pdf
%U http://dx.doi.org/10.1007/978-3-642-34166-3_58
%P 529-538