caa a22 4500 445379421 CHVBK 20180317143012.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s10032-010-0124-6 doi (NATIONALLICENCE)springer-10.1007/s10032-010-0124-6 On-line Arabic handwriting recognition competition [Elektronische Daten] ADAB database and participating systems [Haikal El Abed, Monji Kherallah, Volker Märgner, Adel Alimi] This paper describes the on-line Arabic handwriting recognition competition held at tenth International Conference on Document Analysis and Recognition (ICDAR in Proceedings of the 10th international conference on document analysis and recognition, vol 3, pp 1388-1392, 2009). This first competition uses the so-called ADAB database with Arabic on-line handwritten words. At this first competition, 3 groups with 7 different systems have participated. The systems were tested on known data (training datasets made available for the participants, sets 1 to 3) and on one test dataset that is unknown to all participants (set 4). The systems are compared on the most important characteristic of classification systems, the recognition rate. Additionally, the relative speed of the different systems was compared. A short description of the participating groups, their systems, the experimental setup, and the performed results is presented. Springer-Verlag, 2010 On-line Arabic handwriting recognition nationallicence Competition nationallicence System evaluation nationallicence El Abed Haikal Institute for Communications Technology (IfN), Technische Universitaet Braunschweig, Schleinitzstrasse 22, 38106, Braunschweig, Germany aut Kherallah Monji REGIM: Research Group on Intelligent Machines, National School of Engineers (ENIS), University of Sfax, BP 1173, 3038, Sfax, Tunisia aut Märgner Volker Institute for Communications Technology (IfN), Technische Universitaet Braunschweig, Schleinitzstrasse 22, 38106, Braunschweig, Germany aut Alimi Adel REGIM: Research Group on Intelligent Machines, National School of Engineers (ENIS), University of Sfax, BP 1173, 3038, Sfax, Tunisia aut International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/1(2011-03-01), 15-23 1433-2833 14:1<15 2011 14 10032 https://doi.org/10.1007/s10032-010-0124-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-010-0124-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- El Abed Haikal Institute for Communications Technology (IfN), Technische Universitaet Braunschweig, Schleinitzstrasse 22, 38106, Braunschweig, Germany aut NATIONALLICENCE 700 1- Kherallah Monji REGIM: Research Group on Intelligent Machines, National School of Engineers (ENIS), University of Sfax, BP 1173, 3038, Sfax, Tunisia aut NATIONALLICENCE 700 1- Märgner Volker Institute for Communications Technology (IfN), Technische Universitaet Braunschweig, Schleinitzstrasse 22, 38106, Braunschweig, Germany aut NATIONALLICENCE 700 1- Alimi Adel REGIM: Research Group on Intelligent Machines, National School of Engineers (ENIS), University of Sfax, BP 1173, 3038, Sfax, Tunisia aut NATIONALLICENCE 773 0- International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/1(2011-03-01), 15-23 1433-2833 14:1<15 2011 14 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer