• DocumentCode
    3695276
  • Title

    ICDAR2015 Competition on Keyword Spotting for Handwritten Documents

  • Author

    Joan Puigcerver;Alejandro H. Toselli;Enrique Vidal

  • Author_Institution
    PRHLT Research Center, Universitat Politè
  • fYear
    2015
  • Firstpage
    1176
  • Lastpage
    1180
  • Abstract
    The principal goal of the Competition on Keyword Spotting for Handwritten Documents was to promote different approaches used in the field of Keyword Spotting and to fairly compare them using uniform data and metrics. To accommodate different perspectives adopted by researches in this field, the competition was divided into two distinct tracks, namely, a training-free and a training-based track, and each track entailed two optional assignments. Six participants submitted solutions to one or both assignments, depending on the capabilities and/or restrictions of their systems. The data used in the competition consisted of historical documents in English with different levels of complexity. This paper presents the details of the competition, including the data, evaluation metrics and results of the best participant methods.
  • Keywords
    Computed tomography
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICDAR.2015.7333946
  • Filename
    7333946