Author : Ramasubramanian.SA 1
Date of Publication :30th April 2018
Abstract: Estimating human age by automation is required mainly for security purposes. But the system getting developed won’t help with the correct output of ages. For increasing the accuracy, the system is developed with Convolutional Neural Networks and estimating KULLBACK LEIBLER DIVERGENCE for finding the entropy loss to enhance the output efficiency. Thus the system is designed for better accuracy with the formulas driven for finding the mean difference between images. It will help to overcome the age difference of the images without age labels and also train a large number of images without labels.
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