Metodología para la construcción de un sistema biométrico de reconocimiento facial basado en un clasiﬁcador neuronal
(Methodology for the construction of a biometric facial recognition system based on a neural classifier)
Martin Maglianesi1, Georgina Stegmayer (email@example.com)2
This paper appears in: Revista IEEE América Latina
Publication Date: Sept. 2012
Volume: 10, Issue: 5
This work focuses on the development of a methodology that can be useful in the construction and selection of classifiers
based on artificial neural networks biometric systems. The general hypothesis is that it is possible to find an acceptable neural model
as a classifier for face recognition (FR) according to data provided during training, according to automated procedures. This could be
very useful to assist in the construction process of FR systems, such as for example, it could facilitate the construction of a FR system
optimized for a client database at a bank or a government organization.
Face recognition, neural network classifier, eigenfaces
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