DocumentCode
3490326
Title
ICDAR 2013 Competition on Gender Prediction from Handwriting
Author
Hassaine, Abdulaali ; Al Maadeed, Somaya ; Aljaam, Jihad ; Jaoua, Ali
Author_Institution
Comput. Sci. & Eng. Dept., Qatar Univ., Doha, Qatar
fYear
2013
fDate
25-28 Aug. 2013
Firstpage
1417
Lastpage
1421
Abstract
The 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.
Keywords
gender issues; handwriting recognition; ICDAR2013 competition; Kaggle; evaluation procedure; gender prediction; handwriting recognition; participating method description; Boosting; Educational institutions; Feature extraction; Handwriting recognition; Logistics; Principal component analysis; Support vector machines;
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.2013.286
Filename
6628847
Link To Document