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Summary: ICDAR2009 Page Segmentation Competition
A. Antonacopoulos, S. Pletschacher, D. Bridson and C. Papadopoulos
Pattern Recognition and Image Analysis (PRImA) Research Lab
School of Computing, Science and Engineering, University of Salford, Manchester, M5 4WT, United Kingdom
http://www.primaresearch.org
The work presented in this paper has been partly supported through the EU 7th
Framework Programme grant IMPACT
(Ref: 215064).
Abstract
This paper presents an objective comparative evalua-
tion of layout analysis methods in realistic circumstances.
It describes the Page Segmentation competition (modus
operandi, dataset and evaluation methodology) held in
the context of ICDAR2009 and presents the results of the
evaluation of four submitted methods. Two state-of-the art
methods are also compared as well as the three methods
from the ICDA2007 Page Segmentation competition. The
results indicate that although methods continue to ma-
ture, there is still a considerable need to develop robust
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