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Age Estimation Using Artificial Intelligence Techniques: A Closure Look

Itika Gupta, Sukhdeep Kaur, Pooja Sahni, Paras Chawla


Important characteristic of human life is age, with the help of different patterns this can be concluded rising from the facial appearance. Many of the real-time applications such as safety manipulate and surveillance tracking, biometrics, cosmetology, entertainment, forensic art, electronic customer relationship management make machine based age estimation, especially frequent subject. It is the responsibility of facial pictures category to estimate the age. Its definition includes the determination of person’s age or age group with the help of facial pictures. In this paper, we discuss the previous researches and also overview the new research in facial age estimation. Along with this, we also compare some of age estimation techniques on the basis of mean absolute error (MAE) and detailed view of age estimation representation.

Keywords: Age estimation, feature selection, facial aging

Cite this Article
Itika Gupta, Sukhdeep Kaur, Pooja Sahni, et al. Age Estimation Using Artificial Intelligence Techniques: A Closure Look. Journal of Operating Systems Development & Trends. 2016; 3(2): 15–22p.

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