Saad, Puteh and Rizon, Mohamed and Hashim, Muhammad Firdaus and Yaacob, Sazali and Mamat, Mohd. Rozailan and Md. Shakaff, Ali Yeon and Saad, Abdul Rahman and Desa, Hazri and Karthigayan, M. (2006) Face recognition using eigenfaces and neural networks. American Journal of Applied Sciences, 3 (6). pp. 1872-1875. ISSN 1546-9239
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Official URL: http://www.scipub.org/fulltext/ajas/ajas361872-187...
In this study, we develop a computational model to identify the face of an unknown personâ€™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 Jacobiâ€™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.
|Uncontrolled Keywords:||Feature vector, eigenfaces, eigenvalues, eigenvector|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Computer Science and Information System|
|Deposited By:||Ms Zalinda Shuratman|
|Deposited On:||04 May 2009 08:07|
|Last Modified:||13 Oct 2010 02:09|
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