On the use of skin texture features for gender recognition: An experimental evaluation
Conference paper
Bianconi, F, Smeraldi, F, Abdollahyan, M and Xiao, P (2017). On the use of skin texture features for gender recognition: An experimental evaluation. 6th International Conference on Image Processing Theory Tools and Applications (IPTA), 2016. Oulu, Finland 12 - 15 Dec 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IPTA.2016.7821018
Authors | Bianconi, F, Smeraldi, F, Abdollahyan, M and Xiao, P |
---|---|
Type | Conference paper |
Abstract | © 2016 IEEE.Skin appearance is almost universally the object of gender-related expectations and stereotypes. This not with standing, remarkably little work has been done on establishing quantitatively whether skin texture can be used for gender discrimination. We present a detailed analysis of the skin texture of 43 subjects based on two complementary imaging modalities afforded by a visible-light dermoscope and the recently developed Epsilon sensor for capacitive imaging. We consider an array of established texture features in combination with two supervised classification techniques (1-NN and SVM) and a state-of-the-art unsupervised approach (t-SNE). A statistical analysis of the results suggests that skin microtexture carries very little information on gender. |
Year | 2017 |
Journal | 2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Digital Object Identifier (DOI) | https://doi.org/10.1109/IPTA.2016.7821018 |
Web address (URL) | http://ieeexplore.ieee.org |
Accepted author manuscript | License File Access Level Open |
Publication dates | |
17 Jan 2017 | |
Publication process dates | |
Deposited | 14 Jun 2017 |
Accepted | 12 Dec 2016 |
ISBN | 9781467389105 |
https://openresearch.lsbu.ac.uk/item/870w7
Download files
156
total views596
total downloads0
views this month0
downloads this month