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International Conference on New Trends in Information and Communications Technology Applications

NTICT 2018: New Trends in Information and Communications Technology Applications pp 240–254Cite as

Human Skin Colour Detection Using Bayesian Rough Decision Tree

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 938))

Abstract

Human skin colour detection is a necessary element in computer vision as well as in image processing applications. It is a separation procedure of skin pixels from non-skin pixels in image. Whereas, detecting human skin colour is a very difficult function due to two reasons, mainly, changeable illumination conditions and diverse races of people. Some previous researchers in this field tried to resolve those problems by using thresholds that relied on specific values of skin tones. Although, it is a speedy and an easy implementation, it does not provide sufficient information for recognizing all skin tones of humans. This paper proposes Bayesian Rough Decision Tree (BRDT) classifier to improve the accuracy of human skin detection. Three experiments have been conducted using (RGB) dataset collected from University of California, Irvine (UCI) machine learning repository, RGB (Red, Green, Blue), HSV (Hue, Saturation, Value) and YCbCr (Luminance, Chrominance). The experimental result shows that the proposed system can achieve preferable accuracy in skin detection 98%, 97% and 97% using RGB dataset, HSV dataset and YCbCr dataset respectively.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Technology, Baghdad, Iraq

    Ayad R. Abbas & Ayat O. Farooq

Authors
  1. Ayad R. Abbas
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  2. Ayat O. Farooq
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Corresponding author

Correspondence to Ayat O. Farooq .

Editor information

Editors and Affiliations

  1. University of Information Technology and Communications, Baghdad, Iraq

    Safaa O. Al-mamory

  2. University of Information Technology and Communications, Baghdad, Iraq

    Jwan K. Alwan

  3. University of Information Technology and Communications, Baghdad, Iraq

    Ali D. Hussein

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Abbas, A.R., Farooq, A.O. (2018). Human Skin Colour Detection Using Bayesian Rough Decision Tree. In: Al-mamory, S., Alwan, J., Hussein, A. (eds) New Trends in Information and Communications Technology Applications. NTICT 2018. Communications in Computer and Information Science, vol 938. Springer, Cham. https://doi.org/10.1007/978-3-030-01653-1_15

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  • DOI: https://doi.org/10.1007/978-3-030-01653-1_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01652-4

  • Online ISBN: 978-3-030-01653-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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