Prediction of a human facial image by ann using image data and its content on web pages

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 processes 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