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Age Group Recognition using Human Facial Images

by Shailesh S. Kulkarni
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 126 - Number 13
Year of Publication: 2015
Authors: Shailesh S. Kulkarni
10.5120/ijca2015906243

Shailesh S. Kulkarni . Age Group Recognition using Human Facial Images. International Journal of Computer Applications. 126, 13 ( September 2015), 39-42. DOI=10.5120/ijca2015906243

@article{ 10.5120/ijca2015906243,
author = { Shailesh S. Kulkarni },
title = { Age Group Recognition using Human Facial Images },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 126 },
number = { 13 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 39-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume126/number13/22615-2015906243/ },
doi = { 10.5120/ijca2015906243 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:17:24.306708+05:30
%A Shailesh S. Kulkarni
%T Age Group Recognition using Human Facial Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 126
%N 13
%P 39-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recognizing human age group automatically through facial image analysis has many applications, such as human computer interaction and multimedia communication. The aging process involves many factors such as the person’s gene, health, living style, living location and weather conditions. This paper presents an automatic human age group Recognition system based on human facial images. Features are extracted using two approaches namely Principal Component Analysis (PCA) coefficients and Discrete Cosine Transform (DCT) coefficients and the classification is done using Euclidian Distance classifier. The results shows DCT based approach performs better as compared to results using PCA.

References
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Index Terms

Computer Science
Information Sciences

Keywords

HCI PCA DCT Euclidean Distance Age classification Facial Images MPCA

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