Skin detection using statistics of small amount of training data

Skin detection using statistics of small amount of training data

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

A skin detection approach based on combination of the statistics of multiple sources is presented. As long as the scarcity of available training data (with ground truth) is very common considering practical applications, such a fusion offers a much better classification of skin pixels compared to the state-of-the-art methods. Experiments on a renowned dataset result in a similar decision.


    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • Kovac, J., Peer, P., Solina, F.: `Human skin colour clustering for face detection', EUROCON 2003 – Int. Conf. on Computer as a Tool, 2003, p. 144–148.
    5. 5)
      • Zhang, H.: `The optimality of naive Bayes', Proc. 7th Int. Florida Artificial Intelligence Research Society Conf.,, 2004, AAAI Press.
    6. 6)

Related content

This is a required field
Please enter a valid email address