PT Journal
AU Marçal Rusiñol
   Lluis Pere de las Heras
   Oriol Ramos Terrades
TI Flowchart Recognition for Non-Textual Information Retrieval in Patent Search
SO Information Retrieval
JI IR
PY 2014
BP 545
EP 562
VL 17
IS 5-6
DI 10.1007/s10791-013-9234-3
DE Flowchart recognition; Patent documents; Text/graphics separation; Raster-to-vector conversion; Symbol recognition
AB 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.
ER