Exploring gender prediction from digital handwriting
24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.789-792, (Full Text)
- Publication Type: Conference Paper / Full Text
- Doi Number: 10.1109/siu.2016.7495858
- City: Zonguldak
- Country: Turkey
- Page Numbers: pp.789-792
- Middle East Technical University Northern Cyprus Campus Affiliated: No
Abstract
This paper introduces an empirical investigation which directly addresses and explores gender prediction capacity from digitised handwriting data from several different perspectives - such as feature type (static/dynamic) and content (fixed/variable) types - in order to provide extensive experimental evidence and analysis to guide the development of a better understanding of the opportunities for and practical consequences of gender prediction from digital handwriting data.