%0 Conference Proceedings
%T A Content Spotting System For Line Drawing Graphic Document Images
%A Muhammad Muzzamil Luqman
%A Thierry Brouard
%A Jean-Yves Ramel
%A Josep Llados
%B 20th International Conference on Pattern Recognition
%D 2010
%V 20
%@ 1051-4651
%@ 978-1-4244-7542-1
%F Muhammad Muzzamil Luqman2010
%O DAG
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1460), last updated on Mon, 15 May 2017 12:38:37 +0200
%X We present a content spotting system for line drawing graphic document images. The proposed system is sufficiently domain independent and takes the keyword based information retrieval for graphic documents, one step forward, to Query By Example (QBE) and focused retrieval. During offline learning mode: we vectorize the documents in the repository, represent them by attributed relational graphs, extract regions of interest (ROIs) from them, convert each ROI to a fuzzy structural signature, cluster similar signatures to form ROI classes and build an index for the repository. During online querying mode: a Bayesian network classifier recognizes the ROIs in the query image and the corresponding documents are fetched by looking up in the repository index. Experimental results are presented for synthetic images of architectural and electronic documents.
%U http://dx.doi.org/10.1109/ICPR.2010.835
%P 3420–3423