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