|
Following
the successful organization of the ICDAR 2007 Handwriting Segmentation Contest,
ICDAR
2009 Handwriting Segmentation Contest and the ICFHR
2010 Handwriting Segmentation Contest,
we are pleased to invite all
researchers in the field of off-line handwritten document processing to register
and participate in the ICDAR
2013
Handwriting Segmentation
Contest. The general objective of this contest is
to use
well established evaluation practices and procedures in order to record
recent advances in off-line handwriting segmentation. A major
difference from previous contests will be that we are going to extend
the languages involved by adding Indian handwritten documents. We plan
to create
two benchmarking datasets
(one for text line detection and
one for word detection) and use a common evaluation
platform
in order to test and compare recent algorithms for handwritten document
segmentation in realistic circumstances. A training dataset toolkit
(150
images written in Greek and English language as well as 50 images written in Indian
Bangla language along with the ground truth and the evaluation software) will be
given to all participants
just after registering. Both training and test datasets are composed of only binary images.
An agreement will be signed by the participants and the organizers in order to protect the rights of the submitted software. The results of the competition will be announced during a particular ICDAR 2013 session. A report on the competition will be published in the ICDAR 2013 conference proceedings. Note: You
may participate in this contest even if you do not plan to attend the ICDAR
2013 conference.
Organizers: Nikolaos
Stamatopoulos1, Basilis Gatos1, Georgios Louloudis1,
Umapada Pal2 and Alireza Alaei3 1Computational
Intelligence Laboratory
Institute of Informatics and Telecommunications National Center for Scientific Research "Demokritos" 15310 Aghia Paraskevi, Athens, Greece 2Computer
Vision and Pattern Recognition Unit
Indian Statistical Institute, 203 B. T. Road Kolkata-700108, India 3Universite
Francois Rabelais Tours
Computer Science lab: LI (EA 2101) 64 avenue Jean Portalis, 37200 Tours, France |
Important
dates:
|