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Proceedings Paper

Face recognition based on eigenfeatures
Author(s): Paulo Quintiliano; Antonio Nuno Santa-Rosa; Renato Guadagnin
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Paper Abstract

Face Recognition is an area of emergent research, that offers great challenges, mainly in adverse conditions. This paper addresses face images with approximately 20% of face in partly occluded or not-well illuminated images as well as with use of disguise, scarf, sun glasses or masks. The presented techniques use three different eigenfeatures: eigeneyes, eigennose and eigenmouth. Even in these unfavorable situations, recognition rates achieved 87%. Images were extracted from The Yale Face Database.

Paper Details

Date Published: 21 September 2001
PDF: 6 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001);
Show Author Affiliations
Paulo Quintiliano, Departamento de Policia Federal (Brazil)
Antonio Nuno Santa-Rosa, Univ. de Brasilia (Brazil)
Renato Guadagnin, Univ. de Catolica de Brasilia (Brazil)

Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition
Tianxu Zhang; Bir Bhanu; Ning Shu, Editor(s)

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