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Summary: ICDAR2007 Handwriting Segmentation Contest
B. Gatos1
, A. Antonacopoulos2
and N. Stamatopoulos1
1
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,nstam}@iit.demokritos.gr
2
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
Abstract
This paper presents the results of the Handwriting
Segmentation Contest that was organized in the
context of ICDAR2007. The aim of this contest was to
use well established evaluation practices and
procedures in order to record recent advances in off-
line handwriting segmentation. Two benchmarking
datasets (one for text line and one for word
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