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An Analysis on Gender Classification and Age Estimation Approaches
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 171 - Number 10 |
| Year of Publication: 2017 |
| Authors: Kanwal Deep Kaur, Preeti Rai |
10.5120/ijca2017915085
|
Kanwal Deep Kaur, Preeti Rai . An Analysis on Gender Classification and Age Estimation Approaches. International Journal of Computer Applications. 171, 10 ( Aug 2017), 29-36. DOI=10.5120/ijca2017915085
Abstract
There has been a growing interest in automatic age and gender classification, as it has become relevant to an increasing amount of applications such as human-computer interaction, surveillance, biometrics, intelligent marketing and many more. Facial age and gender from the face image of a person is one such significant demographic attribute. In this paper, presents a review of automatic facial gender classification and age estimation framework in computer vision. While highlighting the challenges involved during classification of images captured under unconstrained conditions or may be the laborious process of gathering the face images for age estimation, as aging is the uncontrolled and slow process. A comprehensive survey for facial feature extraction methods and face databases for gender and age estimation studied in the past couple of decades is mentioned. Evaluation and result based performance achieved for various face images from different databases has been explained.
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