Subject Review: Automatic Age Estimation System for Face Images

Abstract

Over the past few years, academics' interest was drawn to fascinating machine learning (ML) problem of the automatic age estimate from facial images. Models of age estimation are utilized in numerous human-computer interaction (HCI) applications, like content access control, targeted marketing, or soft-biometrics systems, to perform auxiliary functions such as the user filtering or identification. In the presented study, we provide a comprehensive review of recent studies on age estimation for face Images and aging. The preprocessing stage, the feature extraction (FE) stage, the techniques of classification stage, and the accuracy of research's findings were all compared.