@article{(Open Science Index):https://publications.waset.org/pdf/6627,
	  title     = {Face Detection in Color Images using Color Features of Skin},
	  author    = {Fattah Alizadeh and  Saeed Nalousi and  Chiman Savari},
	  country	= {},
	  institution	= {},
	  abstract     = {Because of increasing demands for security in today-s
society and also due to paying much more attention to machine
vision, biometric researches, pattern recognition and data retrieval in
color images, face detection has got more application. In this article
we present a scientific approach for modeling human skin color, and
also offer an algorithm that tries to detect faces within color images
by combination of skin features and determined threshold in the
model. Proposed model is based on statistical data in different color
spaces. Offered algorithm, using some specified color threshold, first,
divides image pixels into two groups: skin pixel group and non-skin
pixel group and then based on some geometric features of face
decides which area belongs to face.
Two main results that we received from this research are as follow:
first, proposed model can be applied easily on different databases and
color spaces to establish proper threshold. Second, our algorithm can
adapt itself with runtime condition and its results demonstrate
desirable progress in comparison with similar cases.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {5},
	  number    = {4},
	  year      = {2011},
	  pages     = {366 - 372},
	  ee        = {https://publications.waset.org/pdf/6627},
	  url   	= {https://publications.waset.org/vol/52},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 52, 2011},
	}