Munaf S, Santhosh Sabari S, Shankaran K P, Tamilvelan M P
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Abstract
Age and gender are two of the most important facial characteristics, and since they are so fundamental to social interactions, estimating them from a single face image is a critical task in intelligent applications. Since the emergence of social platforms and social media, automatic age and gender classification has been essential to a growing number of applications. Even Nevertheless, compared to the enormous performance improvements recently reported for the closely related task of facial recognition, the performance of present approaches on real-world photographs still falls far short. Compared to the prior method, age and gender classification using convolutional neural networks is more accurate.
Article Details
Unique Paper ID: 159509
Publication Volume & Issue: Volume 9, Issue 12
Page(s): 117 - 121
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