%0 Journal Article
%T Flowchart Recognition for Non-Textual Information Retrieval in Patent Search
%A Marçal Rusiñol
%A Lluis Pere de las Heras
%A Oriol Ramos Terrades
%J Information Retrieval
%D 2014
%V 17
%N 5-6
%@ 1386-4564
%F Marçal Rusiñol2014
%O DAG; 600.077
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2342), last updated on Mon, 27 Jun 2016 17:36:59 +0200
%X Relatively little research has been done on the topic of patent image retrieval and in general in most of the approaches the retrieval is performed in terms of a similarity measure between the query image and the images in the corpus. However, systems aimed at overcoming the semantic gap between the visual description of patent images and their conveyed concepts would be very helpful for patent professionals. In this paper we present a flowchart recognition method aimed at achieving a structured representation of flowchart images that can be further queried semantically. The proposed method was submitted to the CLEF-IP 2012 flowchart recognition task. We report the obtained results on this dataset.
%K Flowchart recognition
%K Patent documents
%K Text/graphics separation
%K Raster-to-vector conversion
%K Symbol recognition
%U http://refbase.cvc.uab.es/files/RHR2013.pdf
%U http://dx.doi.org/10.1007/s10791-013-9234-3
%P 545-562