Flowchart recognition for non-textual information retrieval in patent search

Marçal Rusiñol, Lluís Pere de las Heras, Oriol Ramos Terrades

    Research output: Contribution to journalArticleResearchpeer-review

    11 Citations (Scopus)

    Abstract

    © 2013, Springer Science+Business Media New York. 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.
    Original languageEnglish
    Pages (from-to)545-562
    JournalInformation Retrieval
    Volume17
    Issue number5-6
    DOIs
    Publication statusPublished - 1 Oct 2014

    Keywords

    • Flowchart recognition
    • Patent documents
    • Raster-to-vector conversion
    • Symbol recognition
    • Text/graphics separation

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