Multi-layer perceptrons approach to human face recognition
Joint Authors
Source
Journal of Automation and Systems Engineering
Issue
Vol. 4, Issue 3 (30 Sep. 2010), pp.165-172, 8 p.
Publisher
Publication Date
2010-09-30
Country of Publication
Algeria
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This article, presents some results obtained in the face recognition using Multi-Layer Perceptrons (MLP) Neural Networks for classification.
Two designs are studied : single network model and multi networks model.
The input images are resized, and converted to a vector of pixels before they are applied to the input of the MLP Network.
The back propagation algorithm is used to train the MLP network.
The best performance achieved with a single neural network is 99.375 %.We use a data base of 400 images of 40 individuals which is the ORL (Olivetti Research Laboratory) [1].
American Psychological Association (APA)
Murad, Amar& Julaya, Nur al-Din. 2010. Multi-layer perceptrons approach to human face recognition. Journal of Automation and Systems Engineering،Vol. 4, no. 3, pp.165-172.
https://search.emarefa.net/detail/BIM-180282
Modern Language Association (MLA)
Murad, Amar& Julaya, Nur al-Din. Multi-layer perceptrons approach to human face recognition. Journal of Automation and Systems Engineering Vol. 4, no. 3 (Sep. 2010), pp.165-172.
https://search.emarefa.net/detail/BIM-180282
American Medical Association (AMA)
Murad, Amar& Julaya, Nur al-Din. Multi-layer perceptrons approach to human face recognition. Journal of Automation and Systems Engineering. 2010. Vol. 4, no. 3, pp.165-172.
https://search.emarefa.net/detail/BIM-180282
Data Type
Journal Articles
Language
English
Notes
Insludes appendix : p. 172.
Record ID
BIM-180282