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Reseach Article

A Survey on Age Estimation Techniques

by Somy Soman, Amel Austine
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 161 - Number 4
Year of Publication: 2017
Authors: Somy Soman, Amel Austine
10.5120/ijca2017913176

Somy Soman, Amel Austine . A Survey on Age Estimation Techniques. International Journal of Computer Applications. 161, 4 ( Mar 2017), 26-28. DOI=10.5120/ijca2017913176

@article{ 10.5120/ijca2017913176,
author = { Somy Soman, Amel Austine },
title = { A Survey on Age Estimation Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 161 },
number = { 4 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 26-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume161/number4/27139-2017913176/ },
doi = { 10.5120/ijca2017913176 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:07:33.949699+05:30
%A Somy Soman
%A Amel Austine
%T A Survey on Age Estimation Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 161
%N 4
%P 26-28
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Age is an important trait used for identity authentication. The factors that affect aging process include a person’s gene, health, living style etc. Age Estimation is predicting a person’s age. Out of these, face is the most convenient one. Age Estimation has lots of real-world applications, such as security control, biometrics, customer relationship management, entertainment and cosmetology. In this paper, we compare some of the techniques used in the age estimation based on face images. The most commonly used database is FG-NET. The most commonly used age estimation method is regression based because it takes into account the inter-relationship among the age values. Age Estimation via Grouping and Decision Fusion provides minimum MAE, 2.81 for FG-NET and 2.97 for MORPH II.

References
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Index Terms

Computer Science
Information Sciences

Keywords

AGES MAE ANOVA GOP