1 December 2004 Enhanced Fisher linear discriminant model based face recognition using facial combined feature
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Optical Engineering, 43(12), (2004). doi:10.1117/1.1812539
Abstract
We propose a combined feature Fisher classifier method for face recognition (FR). Both facial holistic and local information are used for face representation. In addition, the enhanced Fisher linear discriminant model is employed for improving the generalization capability. Experiments show that the method is not only robust enough to moderate changes of illumination, pose, and facial expression but also superior to the traditional FR methods, such as eigenfaces and Fisherfaces.
Dake Zhou, Xin Yang, "Enhanced Fisher linear discriminant model based face recognition using facial combined feature," Optical Engineering 43(12), (1 December 2004). http://dx.doi.org/10.1117/1.1812539
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KEYWORDS
Facial recognition systems

Databases

Nose

Distance measurement

Feature extraction

Image classification

Instrument modeling

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