Research Article Open Access

Improved Dynamic Threshold Method for Skin Colour Detection Using Multi-Colour Space

Mohd Zamri Osman1, Mohd Aizaini Maarof1 and Mohd Foad Rohani1
  • 1 Department of Computer Science, Information Assurance and Security Research Group (IASRG), Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia


This paper presents a skin colour detection based on an improved dynamic threshold method to reduce false skin detection. Current fixed threshold skin detection fails in certain situations such as misclassification between non skin-like with similar skin-like colour. Any true skin may falsely be detected as non-skin. Research work introduces high-level skin detection strategy based on online sampling where offline training is not required. This strategy shows a promising performance in term of classifying images under skin-like and ethnicity image variations. However, some of the methods produced high false positives that reduced the accuracy of skin detection performance. Therefore, in this study, instead of single colour space and fixed threshold method, an improved skin detection based on multi-colour spaces is proposed. Further more, a dynamic threshold method also has been improved by introducing elastic elliptical mask model for online skin sampling. The experimental result shows an improvement in employing multi-colour rather than single colour space by reducing the false positive and increasing the precision rate.

American Journal of Applied Sciences
Volume 13 No. 2, 2016, 135-144


Submitted On: 24 March 2015 Published On: 19 December 2015

How to Cite: Osman, M. Z., Maarof, M. A. & Rohani, M. F. (2016). Improved Dynamic Threshold Method for Skin Colour Detection Using Multi-Colour Space. American Journal of Applied Sciences, 13(2), 135-144.

  • 4 Citations



  • Skin Colour Detection
  • Dynamic Threshold
  • Online Skin Sampling
  • Multi-Colour Space