AGE ESTIMATION FROM FACE IMAGES:A REVIEW

Abstract

In recent trends estimating human age automatically from face images have lot of potential in real world
applications, such as vending machine, security system/network access control, human computer interaction, multimedia
communication, video surveillance, customer profiling, demographic statistics collection etc. Security applications have
atmost importance in this area.The biometric features of each human being are unique. Age estimation is determines a
person’s age or age group using facial images. A database of facial images is trained to extract features using algorithms
such local binary patterns [LBP], active shape models [ASM], histogram of oriented gradients [HOG], Support Vector
Machine[SVM]. Age estimation can be done using 3 age groups: child, adult, senior. Age estimation can be used as part of
a face recognition process. This paper presents a comprehensive comparison of state-of-the-art research techniques. We
have divided the classification process into three stages and have presented a categorical review of existing literatures.
Their analysis has been presented