International Conference on Document Analysis and Recognition (ICDAR 2011) - Competitions Overview

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 11t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: El Abed, H., Liu Wenyin, Margner, V.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:1520-5363
2379-2140
DOI:10.1109/ICDAR.2011.286