Increased Efficiency of Face Recognition System using Wireless Sensor Network

This research was inspired by the need of a flexible and cost effective biometric security system. The flexibility of the wireless sensor network makes it a natural choice for data transmission. Swarm intelligence (SI) is used to optimize routing in distributed time varying network. In this paper, S...

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Main Authors: Rajani Muraleedharan, Yanjun Yan, Lisa Osadciw
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2006-02-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
Online Access:http://www.iiisci.org/Journal/CV$/sci/pdfs/P263664.pdf
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author Rajani Muraleedharan
Yanjun Yan
Lisa Osadciw
author_facet Rajani Muraleedharan
Yanjun Yan
Lisa Osadciw
author_sort Rajani Muraleedharan
collection DOAJ
description This research was inspired by the need of a flexible and cost effective biometric security system. The flexibility of the wireless sensor network makes it a natural choice for data transmission. Swarm intelligence (SI) is used to optimize routing in distributed time varying network. In this paper, SI maintains the required bit error rate (BER) for varied channel conditions while consuming minimal energy. A specific biometric, the face recognition system, is discussed as an example. Simulation shows that the wireless sensor network is efficient in energy consumption while keeping the transmission accuracy, and the wireless face recognition system is competitive to the traditional wired face recognition system in classification accuracy.
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spelling doaj.art-84a893878b14459b916a46ecb6449bef2022-12-22T03:51:17ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242006-02-01413846Increased Efficiency of Face Recognition System using Wireless Sensor NetworkRajani Muraleedharan0Yanjun Yan1Lisa Osadciw2 Syracuse University Syracuse University Syracuse University This research was inspired by the need of a flexible and cost effective biometric security system. The flexibility of the wireless sensor network makes it a natural choice for data transmission. Swarm intelligence (SI) is used to optimize routing in distributed time varying network. In this paper, SI maintains the required bit error rate (BER) for varied channel conditions while consuming minimal energy. A specific biometric, the face recognition system, is discussed as an example. Simulation shows that the wireless sensor network is efficient in energy consumption while keeping the transmission accuracy, and the wireless face recognition system is competitive to the traditional wired face recognition system in classification accuracy.http://www.iiisci.org/Journal/CV$/sci/pdfs/P263664.pdf Ant SystemWireless Sensor NetworkFace RecognitionSwarm IntelligenceWavelets
spellingShingle Rajani Muraleedharan
Yanjun Yan
Lisa Osadciw
Increased Efficiency of Face Recognition System using Wireless Sensor Network
Journal of Systemics, Cybernetics and Informatics
Ant System
Wireless Sensor Network
Face Recognition
Swarm Intelligence
Wavelets
title Increased Efficiency of Face Recognition System using Wireless Sensor Network
title_full Increased Efficiency of Face Recognition System using Wireless Sensor Network
title_fullStr Increased Efficiency of Face Recognition System using Wireless Sensor Network
title_full_unstemmed Increased Efficiency of Face Recognition System using Wireless Sensor Network
title_short Increased Efficiency of Face Recognition System using Wireless Sensor Network
title_sort increased efficiency of face recognition system using wireless sensor network
topic Ant System
Wireless Sensor Network
Face Recognition
Swarm Intelligence
Wavelets
url http://www.iiisci.org/Journal/CV$/sci/pdfs/P263664.pdf
work_keys_str_mv AT rajanimuraleedharan increasedefficiencyoffacerecognitionsystemusingwirelesssensornetwork
AT yanjunyan increasedefficiencyoffacerecognitionsystemusingwirelesssensornetwork
AT lisaosadciw increasedefficiencyoffacerecognitionsystemusingwirelesssensornetwork