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.
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.
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References
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Arca, S., Campadelli, P., Casiraghi, E., Lanzarotti, R. (2006). An Automatic Feature Based Face Authentication System,. In: Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds) Neural Nets. WIRN NAIS 2005 2005. Lecture Notes in Computer Science, vol 3931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11731177_18
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DOI: https://doi.org/10.1007/11731177_18
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