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 |
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