Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Facial Age Estimation with Age Difference

Author : Ramasubramanian.SA 1 Derick Immanuvel.F 2 Gowtham.J 3 Bharat Kumar 4 Sahaya Sakila.V 5

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.

Reference :

    1. Md. Abdur Rahim , Md. Najmul Hossain ,T.W..M.S.A.(2013).“Face recognition using local binary patterns (lbp ).”In Global Journal of Computer Science and Technology, Vol. 13.
    2. MS. SWATHI THILAKAN, MS. SABA, M. S. S. K. . M. S. V. “Automatic human age estimation system for face images.
    3. Rowley, H. A., Baluja, S., and Kanade, T. (1996). “Neural network-based face detection.” In Computer Vision and Pattern Recognition, 1996.

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