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AuthorHassaine A.
AuthorAl-Maadeed, Somaya
AuthorAljaam J.
AuthorJaoua A.
Available date2022-05-19T10:23:14Z
Publication Date2013
Publication NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/ICDAR.2013.286
URIhttp://hdl.handle.net/10576/31156
AbstractThe prediction of gender from 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 gender prediction from handwriting. This competition has been hosted on Kaggle, it has attracted 194 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.
Languageen
PublisherIEEE
SubjectGender predictions
Research fields
Forecasting
Research
Competition
TitleICDAR 2013 competition on gender prediction from handwriting
TypeConference Paper
Pagination1417-1421


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