In this paper a fully automatic face verification system is presented. A face is characterized by a vector (jet) of coefficients determined applying a bank of Gabor filters in correspondence to 19 facial fiducial points automatically localized. The identity claimed by a subject is accepted or rejected depending on a similarity measure computed among the jet characterizing the subject, and the ones corresponding to the subjects in the gallery. The performance of the system has been quantified according to the Lausanne evaluation protocol for authentication.

An Automatic Feature Based Face Authentication System / S. Arca, P. Campadelli, E. Casiraghi, R. Lanzarotti - In: Neural Nets: 16th Italian Workshop on Neural Nets, WIRN 2005, and International Workshop on Natural and Artificial Immune Systems, NAIS 2005 : Vietri sul Mare, Italy, June 8-11, 2005 : Revised Selected Papers / B. Apolloni, M. Marinaro, G. Nicosia, R. Tagliaferri. - Berlin : Springer, 2005 Jun 08. - ISBN 3540331832. - pp. 120-126 (( Intervento presentato al 16. convegno Italian Workshop on Neural Nets - WIRN 2005 tenutosi a Vietri Sul Mare, Italy nel 2005 [10.1007/11731177_18].

An Automatic Feature Based Face Authentication System

S. Arca;P. Campadelli;E. Casiraghi;R. Lanzarotti
2005

Abstract

In this paper a fully automatic face verification system is presented. A face is characterized by a vector (jet) of coefficients determined applying a bank of Gabor filters in correspondence to 19 facial fiducial points automatically localized. The identity claimed by a subject is accepted or rejected depending on a similarity measure computed among the jet characterizing the subject, and the ones corresponding to the subjects in the gallery. The performance of the system has been quantified according to the Lausanne evaluation protocol for authentication.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/8122
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