This paper is published in Volume-4, Issue-3, 2018
Area
Image Processing
Author
Dujana Nuzra A K, Minnu Jayan C
Org/Univ
Marian Engineering College, Thiruvananthapuram, Kerala, India
Keywords
Skin color detection, Color space, Computer vision, Thresholding, Skin color model.
Citations
IEEE
Dujana Nuzra A K, Minnu Jayan C. Real-time human skin color detection using OTSU thresholding, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Dujana Nuzra A K, Minnu Jayan C (2018). Real-time human skin color detection using OTSU thresholding. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Dujana Nuzra A K, Minnu Jayan C. "Real-time human skin color detection using OTSU thresholding." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Dujana Nuzra A K, Minnu Jayan C. Real-time human skin color detection using OTSU thresholding, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Dujana Nuzra A K, Minnu Jayan C (2018). Real-time human skin color detection using OTSU thresholding. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.
MLA
Dujana Nuzra A K, Minnu Jayan C. "Real-time human skin color detection using OTSU thresholding." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.
Abstract
Skin color is a robust cue in human skin detection. In the development of Human-Computer Interface (HCI) applications, information that are relative to skin color is extensively utilized. Human skin color shows resemblance with non-skin materials like wood, wall paint etc. So an accurate human-computer interaction system is required to be designed which can distinguish between them. Although several methods have been proposed, skin color detection still remains a challenge mainly due to problems such as illumination conditions, camera characteristics, and ethnicity.