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Reseach Article

A Novel Technique to Detect Faces in a Group Photo

by Saravanan Chandran
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 54 - Number 1
Year of Publication: 2012
Authors: Saravanan Chandran
10.5120/8534-2066

Saravanan Chandran . A Novel Technique to Detect Faces in a Group Photo. International Journal of Computer Applications. 54, 1 ( September 2012), 36-39. DOI=10.5120/8534-2066

@article{ 10.5120/8534-2066,
author = { Saravanan Chandran },
title = { A Novel Technique to Detect Faces in a Group Photo },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 54 },
number = { 1 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume54/number1/8534-2066/ },
doi = { 10.5120/8534-2066 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:54:37.203536+05:30
%A Saravanan Chandran
%T A Novel Technique to Detect Faces in a Group Photo
%J International Journal of Computer Applications
%@ 0975-8887
%V 54
%N 1
%P 36-39
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital Image Processing plays a vital role in several applications. One of the applications is detection of people faces in a digital photo. Several research works have been progressing in the field of face identification and matching, facial expressions identification, smile detection, etc. Any application related to face, first step is detection of face. Thus, the face detection plays a key role. The face detection is a complicated process due to background objects, orientation, scale, lighting, geometrics, quality of image, occlusion, disguise etc. This paper discusses different research techniques published in the peer reviewed journal and proposed a technique to detect faces in a group photo.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Face detection object identification biometrics