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Enhanced face detection for biometric security

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Main Author: Sundaraj, Kenneth, Prof. Dr.
Other Authors: kenneth@unimap.edu.my
Format: Article
Language:English
Published: World Scientific and Engineering Academy and Society 2014
Subjects:
Background modeling
Biometric identification
Security system
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33473
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spelling my.unimap-334732014-04-08T07:47:56Z Enhanced face detection for biometric security Sundaraj, Kenneth, Prof. Dr. kenneth@unimap.edu.my Background modeling Biometric identification Security system Link to publisher's homepage at http://www.wseas.org/ Biometrics is an automated method of recognizing a person based on a physiological or behavioral characteristic. Face recognition works by first obtaining an image of a person. This process is usually known as face detection. In this paper we describe an algorithm for face detection that is able to locate a human face embedded in a complicated background. Segmentation of novel or dynamic objects in a scene, often referred to as background subtraction or foreground segmentation, is a critical early step in most computer vision applications in domains such as surveillance and human-computer interaction. All previously implementations on, real-time methods fail to handle properly one or more common phenomena, such as global illumination changes, shadows, inter-reflections, similarity of foreground color to background, and non-static backgrounds (e.g. active video displays or trees waving in the wind). The recent advent of hardware and software for real-time computation of imagery makes better approaches possible. We propose a method for modeling the background that uses per-pixel, time-adaptive, Gaussian mixtures in the combined input space of pixel neighborhood and luminance invariant color. This combination in itself is novel. Our experiments show that the method possesses much greater robustness to problematic phenomena than the prior state of the art methods, without sacrificing real-time performance, making it well-suited for a wide range of practical applications in video events requiring detection and recognition. 2014-04-08T01:33:22Z 2014-04-08T01:33:22Z 2008 Article WSEAS Conference on Computing and Computational Techniques in Sciences, 2008, pages 101-108 978-960-474-009-3 1790-2769 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33473 http://www.wseas.us/e-library/conferences/2008/spain/selected/selected11.pdf http://www.wseas.org/cms.action?id=3930 en World Scientific and Engineering Academy and Society
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Background modeling
Biometric identification
Security system
spellingShingle Background modeling
Biometric identification
Security system
Sundaraj, Kenneth, Prof. Dr.
Enhanced face detection for biometric security
description Link to publisher's homepage at http://www.wseas.org/
author2 kenneth@unimap.edu.my
author_facet kenneth@unimap.edu.my
Sundaraj, Kenneth, Prof. Dr.
format Article
author Sundaraj, Kenneth, Prof. Dr.
author_sort Sundaraj, Kenneth, Prof. Dr.
title Enhanced face detection for biometric security
title_short Enhanced face detection for biometric security
title_full Enhanced face detection for biometric security
title_fullStr Enhanced face detection for biometric security
title_full_unstemmed Enhanced face detection for biometric security
title_sort enhanced face detection for biometric security
publisher World Scientific and Engineering Academy and Society
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33473
_version_ 1643797174479224832
score 13.222552

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