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A Lip Detection Algorithm Using Color Clustering

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2014, 19(3), pp.37~43
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Jeong, Jong Myeon 1

1목포해양대학교

Accredited

ABSTRACT

In this paper, we propose a robust lip detection algorithm using color clustering. At first, weadopt AdaBoost algorithm to extract facial region and convert facial region into Lab color space. Because a and b components in Lab color space are known as that they could well express lip colorand its complementary color, we use a and b component as the features for color clustering. Thenearest neighbour clustering algorithm is applied to separate the skin region from the facial regionand K-Means color clustering is applied to extract lip-candidate region. Then geometriccharacteristics are used to extract final lip region. The proposed algorithm can detect lip regionrobustly which has been shown by experimental results.

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