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Reseach Article

Gender Classification using Geometric Facial Features

by Swathi Kalam, Geetha Guttikonda
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 85 - Number 7
Year of Publication: 2014
Authors: Swathi Kalam, Geetha Guttikonda
10.5120/14855-3222

Swathi Kalam, Geetha Guttikonda . Gender Classification using Geometric Facial Features. International Journal of Computer Applications. 85, 7 ( January 2014), 32-37. DOI=10.5120/14855-3222

@article{ 10.5120/14855-3222,
author = { Swathi Kalam, Geetha Guttikonda },
title = { Gender Classification using Geometric Facial Features },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 85 },
number = { 7 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 32-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume85/number7/14855-3222/ },
doi = { 10.5120/14855-3222 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:01:52.917060+05:30
%A Swathi Kalam
%A Geetha Guttikonda
%T Gender Classification using Geometric Facial Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 85
%N 7
%P 32-37
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Gender classification has become an essential task in human computer interaction (HCI). Gender classification is used in immense number of applications like passive surveillance, control in smart buildings (restricting access to certain areas based on gender) and supermarkets, gender advertising, security investigation. So far detection of gender using facial features is done by using the methods like Gabor wavelets, artificial neural networks and support vector machine. In this work, facial distance measure is used as a progenitor to achieve the gender classification. The proposed approach performs gender classification using mathematical operations on the frontal pose face images using Matlab. This work can be further evaluated in future by using different databases with various poses other than the frontal pose.

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Index Terms

Computer Science
Information Sciences

Keywords

Gender classification feature extraction