Age Estimation based on Neural Networks Using Face Features
In this paper, the authors propose a methodology based on neural networks to estimate human ages using face features. Due to the difficulty of estimating the exact age, they developed their system to estimate the age to be within certain ranges. In the first stage, the age is classified into four categories which distinguish the person oldness in terms of age. The four categories are child, young, youth and old. In the second stage of the process they classify each age category into two more specific ranges. The uniqueness about their research project is that most of the previous research work does not consider the fine tuning of age as they are presenting in their research.