Human skin color detection: A review on neural network perspective

  • Hani K. Al-Mohair
  • , Junita Mohamad-Saleh*
  • , Shahrel Azmin Suandi
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Skin color is a robust cue in human skin detection. It has been widely used in various human-related image processing applications that skin detection techniques based on skin color information have gained much attention recently. Although several techniques have been proposed, skin color detection still remains as a challenge mainly due to problems such as illumination conditions, camera characteristics, and ethnicity. Among the various techniques used for skin color detection, neural networks have been proven to be one of the most effective tools. In this paper, an up-to-date review of the available neural network-based human skin color detection algorithms is presented.

Original languageEnglish
Pages (from-to)8115-8131
Number of pages17
JournalInternational Journal of Innovative Computing, Information and Control
Volume8
Issue number12
StatePublished - 2012
Externally publishedYes

Keywords

  • Color space
  • Neural networks
  • Skin color detection

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics

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