Detecting figures and part labels in patents: competition-based development of graphics recognition algorithms

@article{Riedl2016DetectingFA,
  title={Detecting figures and part labels in patents: competition-based development of graphics recognition algorithms},
  author={Christoph Riedl and R. Zanibbi and Marti A. Hearst and Siyu Zhu and Michael Menietti and Jason Crusan and Ivan Metelsky and K. Lakhani},
  journal={International Journal on Document Analysis and Recognition (IJDAR)},
  year={2016},
  volume={19},
  pages={155-172}
}
  • Christoph Riedl, R. Zanibbi, +5 authors K. Lakhani
  • Published 2016
  • Computer Science
  • International Journal on Document Analysis and Recognition (IJDAR)
  • Most United States Patent and Trademark Office (USPTO) patent documents contain drawing pages which describe inventions graphically. By convention and by rule, these drawings contain figures and parts that are annotated with numbered labels but not with text. As a result, readers must scan the document to find the description of a given part label. To make progress toward automatic creation of ‘tool-tips’ and hyperlinks from part labels to their associated descriptions, the USPTO hosted a… CONTINUE READING
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