• DocumentCode
    183465
  • Title

    ICFHR 2014 Competition on Handwritten Digit String Recognition in Challenging Datasets (HDSRC 2014)

  • Author

    Diem, Markus ; Fiel, Stefan ; Kleber, Florian ; Sablatnig, Robert ; Saavedra, Jose M. ; Contreras, David ; Barrios, Juan Manuel ; Oliveira, Luiz S.

  • Author_Institution
    Comput. Vision Lab., Vienna Univ. of Technol., Vienna, Austria
  • fYear
    2014
  • fDate
    1-4 Sept. 2014
  • Firstpage
    779
  • Lastpage
    784
  • Abstract
    This paper presents the results of the HDSRC 2014 competition on handwritten digit string recognition in challenging datasets organized in conjunction with ICFHR 2014. The general objective of this competition is to identify, evaluate and compare recent developments in Western Arabic digit string recognition with varying length. In addition, this competition introduces two new challenging datasets for benchmarking. We describe competition details including the datasets and evaluation measures used, and give a comparative performance analysis of six (6) participating methods along with a short description of the respective methodologies.
  • Keywords
    document image processing; handwritten character recognition; string matching; Competition on Handwritten Digit String Recognition in Challenging Datasets; HDSRC 2014; Western Arabic digit string recognition; document analysis; Databases; Educational institutions; Handwriting recognition; Image recognition; Image segmentation; Measurement; Noise; competition; digit; recognition; string;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
  • Conference_Location
    Heraklion
  • ISSN
    2167-6445
  • Print_ISBN
    978-1-4799-4335-7
  • Type

    conf

  • DOI
    10.1109/ICFHR.2014.136
  • Filename
    6981115