An Automatic Feature Based Face Authentication System

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 reject...

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Bibliographic Details
Published inNeural Nets pp. 120 - 126
Main Authors Arca, Stefano, Campadelli, Paola, Casiraghi, Elena, Lanzarotti, Raffaella
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2006
SeriesLecture Notes in Computer Science
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ISBN3540331832
9783540331834
ISSN0302-9743
1611-3349
DOI10.1007/11731177_18

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Summary: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.
Bibliography:Work partially supported by project “Acquisizione e compressione di Range Data e tecniche di modellazione 3D di volti da immagini”, COFIN 2003.
Work partially supported by the PASCAL Network of Excellence under EC grant no.506778. This pubblication only reflects the authors’ view.
ISBN:3540331832
9783540331834
ISSN:0302-9743
1611-3349
DOI:10.1007/11731177_18