Title :
International Conference on Document Analysis and Recognition (ICDAR 2011) - Competitions Overview
Author :
El Abed, Haikal ; Wenyin, Liu ; Märgner, Volker
Author_Institution :
Inst. for Commun. Technol. (IfN), Tech. Univ. Braunschweig, Braunschweig, Germany
Abstract :
The great success and high number of participants in pattern recognition related competitions last years show an important improvement of recognition and classification approaches. This success is unconceivable without the availability of huge datasets of real world data. Within the scope of the 11th International Conference on Document Analysis and Recognition (ICDAR2011) a call for competitions was initiated. The aim of the competitions is the performance evaluation of algorithms and methods for a particular task of document analysis and recognition. 22 different teams have submitted their proposals. The subjects of these propositions cover the field of research of document analysis and recognition from pre-processing over document analysis to text recognition or writer identification. 16 competitions have received enough participants (we have defined the threshold to 3 systems) to present their evaluation at the ICDAR 2011.
Keywords :
classification; pattern recognition; text analysis; document analysis; document recognition; pattern recognition; text recognition; writer identification; Computer science; Educational institutions; Handwriting recognition; Image recognition; Text analysis; Text recognition; Benchmarking; Competition; Contest; Evaluation; ICDAR2011;
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1350-7
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2011.286