Skin detection is an important task for computer
vision systems. A good method of skin detection means a good and
successful result of the system.
The colour is a good descriptor for image segmentation and
classification; it allows detecting skin colour in the images. The
lighting changes and the objects that have a colour similar than skin
colour make the operation of skin detection difficult.
In this paper, we proposed a method using the YCbCr colour space
for skin detection and lighting effects elimination, then we use the
information of texture to eliminate the false regions detected by the
YCbCr skin model.
 D. Ghimire and J. Lee. “A Robust Face Detection Method Based on
Skin Color and Edges”. J Inf Process Syst, Vol.9, No.1, March 2013.
 Hyung-Soo lee, D.kim, Sang-Youn lee. “Robust face-tracking using skin
color and facial shape”. AVBPA 2003 Springer.
 M. Sharma and S. Verma and A S Mandal. “Block Based Skin Color
Detection for Automated Video Surveillance System”. International
Journal of Scientific & Engineering Research, Volume 3, Issue 11,
 Phung, S.L., Bouzerdoum, A., Chai, D. “Skin segmentation using color
pixel classification: analysis and comparison”. IEEE Trans. on Pattern
Analysis and Machine Intelligence 27(1), 148–154 (2005).
 K. Kakumanu and S. Makrogiannis and N. Bourbakis: “A survey of skin
color modeling and detection methods”. Pattern Recognition 40(3),
 B. Khanal and D. Sidibé. “Efficient Skin Detection under Severe
Illumination Changes and Shadows”. Springer. ICIRA 2011, Part II,
LNAI 7102, pp. 609–618.
 L.Tang and H. Tang. “Image Sharpening and Denoising Method Based
on Anisotropic Diffusion Model”. Springer. AISC 62, pp. 313-320.2009.
 D. Gadkari. “Image quality analysis using glcm”. Dhanashree gadkari.
“Image quality analysis using glcm”. University of pune, 2000.