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Face recognition using Multi-Layered Perceptrons
which also reject never seen faces ?
Paolo Frasconi Marco Gori
Giovanni Soda
Dipartimento di Sistemi e Informatica, Universit?a di Firenze
Via di Santa Marta 3 - 50139 Firenze - Italy
Tel. (39) 55-4796265, Fax (39) 55-4796363
e-mail : frasconi, marco @ingfi1.cineca.it
Alberto De Curtis Fabrizio Innocenti
Officine Galileo - Firenze
Abstract
In this paper we show how can Multi-Layered Networks be used for face recognition.
Preliminary experiments have demonstrated that these networks can indeed
discriminate among different faces, but that they fail in rejecting never seen faces.
We suggest a simple architectural solution capable of solving this problem and keeping
the already shown skill of discriminating faces.
Index Terms - Back Propagation, Face Recognition.
I Introduction
Recognizing faces is not only an amazing and stimulating pattern recognition exercise, but also an important practical problem for cases where an automatic security check is required. This problem has been recently investigated using neural networks [2, 1]. Some researchers have approached the problem using Backpropagation with neural classifiers
?This research was partially supported by MURST 40%, and Officine Galileo.