• DocumentCode
    2149954
  • Title

    ICDAR 2011 Robust Reading Competition Challenge 2: Reading Text in Scene Images

  • Author

    Shahab, Asif ; Shafait, Faisal ; Dengel, Andreas

  • Author_Institution
    German Res. Center for Artificial Intell. (DFKI), Kaiserslautern, Germany
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    1491
  • Lastpage
    1496
  • Abstract
    Recognition of text in natural scene images is becoming a prominent research area due to the widespread availablity of imaging devices in low-cost consumer products like mobile phones. To evaluate the performance of recent algorithms in detecting and recognizing text from complex images, the ICDAR 2011 Robust Reading Competition was organized. Challenge 2 of the competition dealt specifically with detecting/recognizing text in natural scene images. This paper presents an overview of the approaches that the participants used, the evaluation measure, and the dataset used in the Challenge 2 of the contest. We also report the performance of all participating methods for text localization and word recognition tasks and compare their results using standard methods of area precision/recall and edit distance.
  • Keywords
    character recognition; text analysis; ICDAR 2011; mobile phones; natural scene image; reading text; robust reading competition challenge; scene images; text localization; text recognition; word recognition task; Character recognition; Feature extraction; Image edge detection; Image segmentation; Robustness; Text recognition; Scene text detection; natural images; text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2011 International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4577-1350-7
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2011.296
  • Filename
    6065556