@article{(Open Science Index):https://publications.waset.org/pdf/9404,
	  title     = {RBF Based Face Recognition and Expression Analysis},
	  author    = {Praseeda Lekshmi.V and  Dr.M.Sasikumar},
	  country	= {},
	  institution	= {},
	  abstract     = {Facial recognition and expression analysis is rapidly
becoming an area of intense interest in computer science and humancomputer
interaction design communities. The most expressive way
humans display emotions is through facial expressions. In this paper
skin and non-skin pixels were separated. Face regions were extracted
from the detected skin regions. Facial expressions are analyzed from
facial images by applying Gabor wavelet transform (GWT) and
Discrete Cosine Transform (DCT) on face images. Radial Basis
Function (RBF) Network is used to identify the person and to classify
the facial expressions. Our method reliably works even with faces,
which carry heavy expressions.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {2},
	  number    = {6},
	  year      = {2008},
	  pages     = {1175 - 1178},
	  ee        = {https://publications.waset.org/pdf/9404},
	  url   	= {https://publications.waset.org/vol/18},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 18, 2008},