Please use this identifier to cite or link to this item: http://148.72.244.84:8080/xmlui/handle/xmlui/5126
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMatheel E. Abdulmunem-
dc.contributor.authorFatima B. Ibrahim-
dc.date.accessioned2023-10-19T10:08:30Z-
dc.date.available2023-10-19T10:08:30Z-
dc.date.issued2017-
dc.identifier.citationhttp://dx.doi.org/10.24237/djps.1303.274Ben_US
dc.identifier.issn2222-8373-
dc.identifier.urihttp://148.72.244.84:8080/xmlui/handle/xmlui/5126-
dc.description.abstractSince computing technology increasing as part of our daily life activity, there is a need for new branches of applications. Developing the Wireless Sensor Network (WSN) application to adequate to work within the access control of smart home is the main aim of this paper. In this paper, a new approach of face recognition is proposed to work with WSN depending on Gabor filter and the computation of Eigen faces. Centralized algorithm principle is depended on work to carry the work load to the base station node with a flat architecture based on the principle of gossiping routing protocol. The feature vector that is traveling on the network is compressed to only 15 components with recognition rate reaches to 100% and reduction in computation complexity of Eigen faces.en_US
dc.description.sponsorshipdjps.uodiyala.edu.iqen_US
dc.language.isoenen_US
dc.publisherUniversity of Diyalaen_US
dc.subjectWireless Sensor Network, Eigen faces, Gabor filter, DC components.en_US
dc.titleHybrid Face Recognition Algorithm for Wireless Sensor Networken_US
dc.typeArticleen_US
Appears in Collections:مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.)

Files in This Item:
File Description SizeFormat 
19e-17(274).pdf977 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.