DocumentCode :
3490311
Title :
ICDAR 2013 Competition on Handwriting Stroke Recovery from Offline Data
Author :
Hassaine, Abdulaali ; Al Maadeed, Somaya ; Bouridane, Ahmed
Author_Institution :
Comput. Sci. & Eng. Dept., Qatar Univ., Doha, Qatar
fYear :
2013
fDate :
25-28 Aug. 2013
Firstpage :
1412
Lastpage :
1416
Abstract :
Stroke recovery from offline handwriting is a very interesting research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare recent advances in stroke recovery from offline handwriting. This competition has been hosted on Kaggle, it has attracted 45 teams from both academia and industry. This paper gives details on this competition, including the dataset used, the evaluation procedure and description of participating methods and their performances.
Keywords :
handwriting recognition; handwritten character recognition; image restoration; ICDAR2013; Kaggle; evaluation procedure; offline data; offline handwriting stroke recovery; participating method description; Atmospheric measurements; Benchmark testing; Educational institutions; Handwriting recognition; Particle measurements; Text analysis; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location :
Washington, DC
ISSN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2013.285
Filename :
6628846
Link To Document :
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