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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/11389

Title: Face recognition using eigenfaces and neural networks
Authors: Mohamed Rizon
Muhammad Firdaus, Hashim
Puteh, Saad
Sazali, Yaacob, Prof. Dr.
Mohd Rozailan, Mamat
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Rahman, Saad
Hazri, Desa, Dr.
Karthigayan, M.
Keywords: Feature vector;Eigenfaces;Eigenvalues;Eigenvector
Issue Date: 2006
Publisher: Science Publications
Citation: American Journal of Applied Sciences, vol.2(6), 2006, pages 1872-1875
Abstract: In this study, we develop a computational model to identify the face of an unknown person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is then projecting onto human faces to identify unique features vectors. This significant features vector can be used to identify an unknown face by using the backpropagation neural network that utilized euclidean distance for classification and recognition. The ORL database for this investigation consists of 40 people with various 400 face images had been used for the learning. The eigenfaces including implemented Jacobi’s method for eigenvalues and eigenvectors has been performed. The classification and recognition using backpropagation neural network showed impressive positive result to classify face images.
Description: Link to publisher's homepage at http://www.scipub.org/
URI: http://www.scipub.org/fulltext/ajas/ajas361872-1875.pdf
ISSN: 1546-9239
Appears in Collections:Hazry Desa, Assoc. Prof. Dr.
School of Computer and Communication Engineering (Articles)
Ali Yeon, Md Shakaff, Prof. Dr.
Sazali Yaacob, Prof. Dr.

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