Show simple item record

AuthorHassaine A.
AuthorAl-Maadeed, Somaya
AuthorBouridane 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.2013.285
URIhttp://hdl.handle.net/10576/31155
AbstractStroke 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.
Languageen
PublisherIEEE
SubjectOffline data
Offline handwriting
Research fields
Stroke recovery
Competition
Patient rehabilitation
Research
Character recognition
TitleICDAR 2013 competition on handwriting stroke recovery from offline data
TypeConference Paper
Pagination1412-1416


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record