@article{(Open Science Index):https://publications.waset.org/pdf/3288,
	  title     = {Face Recognition Using Eigen face Coefficients and Principal Component Analysis},
	  author    = {Parvinder S. Sandhu and  Iqbaldeep Kaur and  Amit Verma and  Samriti Jindal and  Inderpreet Kaur and  Shilpi Kumari},
	  country	= {},
	  institution	= {},
	  abstract     = {Face Recognition is a field of multidimensional
applications. A lot of work has been done, extensively on the most of
details related to face recognition. This idea of face recognition using
PCA is one of them. In this paper the PCA features for Feature
extraction are used and matching is done for the face under
consideration with the test image using Eigen face coefficients. The
crux of the work lies in optimizing Euclidean distance and paving the
way to test the same algorithm using Matlab which is an efficient tool
having powerful user interface along with simplicity in representing
complex images.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {4},
	  year      = {2009},
	  pages     = {1039 - 1043},
	  ee        = {https://publications.waset.org/pdf/3288},
	  url   	= {https://publications.waset.org/vol/28},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 28, 2009},
	}