Frontal facial images based age classify via SVM

A person´s face provides a lot of information such as age, gender and identity. Faces allow humans to estimate/ classify the age of other persons just by looking at their face. Researchers who carried out work in studying the process of age classification by humans conclude that humans are not so accurate in age classification; hence the possibility of developing facial age classification methods poses an attractive direction. In this paper, we try to prove that computer can classify human age according to features extracted from human facial images using Support Vector Machine (SVM). Many attempts towards age classification are tried and most of them give results for wide ranges of ages or classify the ages in groups such as child, adult and old. We focused on more accurate age group.