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
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;
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/ICDAR.2013.286