• DocumentCode
    3695272
  • Title

    ICDAR 2015 competition on Robust Reading

  • Author

    Dimosthenis Karatzas;Lluis Gomez-Bigorda;Anguelos Nicolaou;Suman Ghosh;Andrew Bagdanov;Masakazu Iwamura;Jiri Matas;Lukas Neumann;Vijay Ramaseshan Chandrasekhar;Shijian Lu;Faisal Shafait;Seiichi Uchida;Ernest Valveny

  • Author_Institution
    Computer Vision Centre, Universitat Autò
  • fYear
    2015
  • Firstpage
    1156
  • Lastpage
    1160
  • Abstract
    Results of the ICDAR 2015 Robust Reading Competition are presented. A new Challenge 4 on Incidental Scene Text has been added to the Challenges on Born-Digital Images, Focused Scene Images and Video Text. Challenge 4 is run on a newly acquired dataset of 1,670 images evaluating Text Localisation, Word Recognition and End-to-End pipelines. In addition, the dataset for Challenge 3 on Video Text has been substantially updated with more video sequences and more accurate ground truth data. Finally, tasks assessing End-to-End system performance have been introduced to all Challenges. The competition took place in the first quarter of 2015, and received a total of 44 submissions. Only the tasks newly introduced in 2015 are reported on. The datasets, the ground truth specification and the evaluation protocols are presented together with the results and a brief summary of the participating methods.
  • Keywords
    "Yttrium","IP networks"
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICDAR.2015.7333942
  • Filename
    7333942