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Reseach Article

Survey on Age Estimation System

by Aishwarya Gunjal, Deepa Abin
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 3
Year of Publication: 2018
Authors: Aishwarya Gunjal, Deepa Abin
10.5120/ijca2018917478

Aishwarya Gunjal, Deepa Abin . Survey on Age Estimation System. International Journal of Computer Applications. 182, 3 ( Jul 2018), 1-4. DOI=10.5120/ijca2018917478

@article{ 10.5120/ijca2018917478,
author = { Aishwarya Gunjal, Deepa Abin },
title = { Survey on Age Estimation System },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2018 },
volume = { 182 },
number = { 3 },
month = { Jul },
year = { 2018 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number3/29739-2018917478/ },
doi = { 10.5120/ijca2018917478 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:10:15.121043+05:30
%A Aishwarya Gunjal
%A Deepa Abin
%T Survey on Age Estimation System
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 3
%P 1-4
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There has been a enlarge interest in the automatic determination of age from facial photograph due to a lot of inherent applications. However, in spite of advances in automatic age estimation, it remains a difficult problem because the face aging process does not depend only by intrinsic factors, e.g. genetic factors, but also on extrinsic factors, e.g. lifestyle, environment, and expression. The recognition properties of face images have been well investigated in real-world applications. Although the wide survey of person recognition from face images, there is only a small amount of research carried out on how to exactly estimate and use the analytical information contained in face images such as age, gender, and nationality. Some of the inherent applications of automatic estimation of age are: (i)Law enforcement: Automatic age estimation systems will facilitate to see the inherent suspects more accurately and expertly by sorting the gallery database of images using the estimated age of the input photographs. (ii)Security control: an Associate degree automatic age estimation system can be used to prohibit minors from buying alcohol or cigarette from vending machines or getting access to improper web pages. (iii)Human-computer interaction (HCI) -the system can modify the contents given to a user based on their age. Experimentation has been performed on Appa-Real-Release dataset and observed that Mean Absolute Error be minimized using RBF-Kernel.

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Index Terms

Computer Science
Information Sciences

Keywords

Image processing Machine Learning Feature Extraction Viola-John algorithm non-reflective similarity transformation