• DocumentCode
    2196532
  • Title

    Semi-automatic Annotation Tool for Medieval Manuscripts

  • Author

    Baechler, Micheal ; Bloechle, Jean-Luc ; Ingold, Rolf

  • Author_Institution
    Dept. of Inf., Univ. of Fribourg, Fribourg, Switzerland
  • fYear
    2010
  • fDate
    16-18 Nov. 2010
  • Firstpage
    182
  • Lastpage
    187
  • Abstract
    Medieval manuscript layouts are quite complex. They contain textual elements such as insertions, annotations, and corrections. They may be richly decorated with ornaments, illustrations, and decorative initials making their layout even more complex. In this paper we describe a semi-automatic tool which annotates medieval manuscripts using our generic format. This format allows to represent the physical structure of such manuscripts. Our semi-automatic tool is composed of two parts. The first part achieves a layout analysis which automatically segments manuscripts into text blocks and text lines. That is, a Multi-Layer Perceptron (MLP) identifies layout elements by using color features, it extracts the textual content image of the manuscript. Then, a segmentation based on Connected Component (CC) is performed on the textual content in order to retrieve text blocks and lines. The second part provides an interactive interface allowing the user to customize the automatic analysis, to visualize its results, and to correct them. Our tool is still a prototype, nevertheless, first experiments give encouraging results. Thus, in this paper, we show how to generate a ground truth for medieval manuscripts layouts.
  • Keywords
    image colour analysis; image segmentation; multilayer perceptrons; text analysis; user interfaces; color feature extraction; connected component; image segmentation; interactive user interface; medieval manuscript layout; multilayer perceptron; semiautomatic annotation tool; textual content image; annotation; layout; medieval manuscript; model; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition (ICFHR), 2010 International Conference on
  • Conference_Location
    Kolkata
  • Print_ISBN
    978-1-4244-8353-2
  • Type

    conf

  • DOI
    10.1109/ICFHR.2010.36
  • Filename
    5693521