• DocumentCode
    1638693
  • Title

    A Distance-Based Technique for Non-Manhattan Layout Analysis

  • Author

    Ferilli, Stefano ; Biba, Marenglen ; Esposito, Floriana ; Basile, Teresa M A

  • Author_Institution
    Dipt. di Inf., Univ. degli Studi di Bari, Bari, Italy
  • fYear
    2009
  • Firstpage
    231
  • Lastpage
    235
  • Abstract
    Layout analysis is a fundamental step in automatic document processing. Many different techniques have been proposed to perform this task. Some follow a top-down approach: they start by identifying the high level components of the page structure and then recursively split them until basic blocks are found. On the other hand, bottom-up approaches start with the smallest elements (e.g., the pixels in case of digitized document) and then recursively merge them into higher level components. A first limitation of such methods is that most of them are designed to deal only with digitized documents and hence are not applicable to native digital documents which are nowadays pervasive. Furthermore, top-down and most of bottom-up methods are able to process Manhattan layout documents only. In this work, we propose a general bottom-up strategy to tackle the layout analysis of (possibly) non-Manhattan documents, and two specializations of it to handle both bitmap and PS/PDF sources. It was successfully embedded and tested in the DOMINUS document management system.
  • Keywords
    document image processing; DOMINUS document management system; PS/PDF image; automatic document image processing; bottom-up approach; digital document image; distance-based technique; nonmanhattan layout analysis; page structure; top-down approach; System testing; Document Image Understanding; Layout Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4244-4500-4
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2009.37
  • Filename
    5277719