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Framework for Face Detection

by Nidhi Srivastava, Harsh Dev, S. Qamar Abbas
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 17
Year of Publication: 2012
Authors: Nidhi Srivastava, Harsh Dev, S. Qamar Abbas
10.5120/9372-3811

Nidhi Srivastava, Harsh Dev, S. Qamar Abbas . Framework for Face Detection. International Journal of Computer Applications. 58, 17 ( November 2012), 8-11. DOI=10.5120/9372-3811

@article{ 10.5120/9372-3811,
author = { Nidhi Srivastava, Harsh Dev, S. Qamar Abbas },
title = { Framework for Face Detection },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 17 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number17/9372-3811/ },
doi = { 10.5120/9372-3811 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:02:44.651928+05:30
%A Nidhi Srivastava
%A Harsh Dev
%A S. Qamar Abbas
%T Framework for Face Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 17
%P 8-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper shows an approach to the detection and identification of human faces in a color image. Detection of human faces is becoming a very important task in various applications, such as video surveillance and security control system, intelligent human computer interface, face recognition, content-based image retrieval, multimedia applications on the web like video conferencing and face database management. In this paper, k-means clustering has been used for distinguishing skin from non skin region. Then, some morphological operations have been performed to clean the image. Finally, region property measures have been used to locate face in the image.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Face Detection K-means Cluster analysis Skin color segmentation Framework

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