@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}, }