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ICDAR2007 Page Segmentation Competition A. Antonacopoulos1
 

Summary: ICDAR2007 Page Segmentation Competition
A. Antonacopoulos1
, B. Gatos2
and D. Bridson1
1
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
2
Computational Intelligence Laboratory, Institute of Informatics and Telecommunications,
National Center for Scientific Research "Demokritos", GR-153 10 Agia Paraskevi, Athens, Greece
http://www.iit.demokritos.gr/~bgat/, bgat@iit.demokritos.gr
Abstract
This paper continues the authors' attempt to address
the need for objective comparative evaluation of layout
analysis methods in realistic circumstances. It describes
the Page Segmentation Competition (modus operandi,
dataset and evaluation criteria) held in the context of
ICDAR2007 and presents the results of the evaluation of
three candidate methods. The main objective of the

  

Source: Antonacopoulos, Apostolos - School of Computing, Science and Engineering, University of Salford
Gatos, Basilios - Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos"

 

Collections: Computer Technologies and Information Sciences; Engineering