• DocumentCode
    3490477
  • Title

    ICDAR 2013 Competition on Historical Newspaper Layout Analysis (HNLA 2013)

  • Author

    Antonacopoulos, A. ; Clausner, C. ; Papadopoulos, Christos ; Pletschacher, S.

  • Author_Institution
    Pattern Recognition & Image Anal. (PRImA) Res. Lab., Univ. of Salford, Salford, UK
  • fYear
    2013
  • fDate
    25-28 Aug. 2013
  • Firstpage
    1454
  • Lastpage
    1458
  • Abstract
    This paper presents an objective comparative evaluation of layout analysis methods for scanned historical newspapers. It describes the competition (modus operandi, dataset and evaluation methodology) held in the context of ICDAR2013 and the 2nd International Workshop on Historical Document Imaging and Processing (HIP2013), presenting the results of the evaluation of five submitted methods. Two state-of-the-art systems, one commercial and one open-source, are also evaluated for comparison. Two scenarios are reported in this paper, one evaluating the ability of methods to accurately segment regions and the other evaluating the whole pipeline of segmentation and region classification (with a text extraction goal). The results indicate that there is a convergence to a certain methodology with some variations in the approach. However, there is still a considerable need to develop robust methods that deal with the idiosyncrasies of historical newspapers.
  • Keywords
    document image processing; image classification; publishing; ICDAR 2013 competition; historical newspaper idiosyncrasies; historical newspaper layout analysis; objective comparative evaluation; region classification evaluation; scanned historical newspapers; segmentation pipeline evaluation; text extraction goal; Image analysis; Image segmentation; Layout; Particle separators; Performance evaluation; Text analysis; Video recording; datasets; historical documents; layout analysis; newspapers; page segmentation; performance evaluation; region classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2013.293
  • Filename
    6628854