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AuthorHassane A.
AuthorAl-Maadeed, Somaya
AuthorAlja'am J.M.
AuthorJaoua A.
AuthorBouridane A.
Available date2022-05-19T10:23:16Z
Publication Date2011
Publication NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/ICDAR.2011.292
URIhttp://hdl.handle.net/10576/31170
AbstractArabic writer identification is a very active 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 Arabic writer identification. This competition was hosted by Kaggle, it has attracted thirty participants from both academia and industry. This paper gives details on this competition, including the evaluation procedure, description of participating methods and their performances.
Languageen
PublisherIEEE
SubjectKaggle
Performance evaluation
Research fields
Writer identification
Research
Competition
TitleThe ICDAR2011 Arabic writer identification contest
TypeConference Paper
Pagination1470-1474
dc.accessType Abstract Only


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