@article{(Open Science Index):https://publications.waset.org/pdf/4909,
	  title     = {Prediction of a Human Facial Image by ANN using Image Data and its Content on Web Pages},
	  author    = {Chutimon Thitipornvanid and  Siripun Sanguansintukul},
	  country	= {},
	  institution	= {},
	  abstract     = {Choosing the right metadata is a critical, as good
information (metadata) attached to an image will facilitate its
visibility from a pile of other images. The image-s value is enhanced
not only by the quality of attached metadata but also by the technique
of the search. This study proposes a technique that is simple but
efficient to predict a single human image from a website using the
basic image data and the embedded metadata of the image-s content
appearing on web pages. The result is very encouraging with the
prediction accuracy of 95%. This technique may become a great
assist to librarians, researchers and many others for automatically and
efficiently identifying a set of human images out of a greater set of
images.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {8},
	  year      = {2009},
	  pages     = {1903 - 1907},
	  ee        = {https://publications.waset.org/pdf/4909},
	  url   	= {https://publications.waset.org/vol/32},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 32, 2009},
	}