Face recognition based on eigenfeatures
Paulo Quintiliano, Antonio N. Santa-Rosa, Renato Da Veiga Guadagnin · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
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.