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Optical Engineering

Enhanced Fisher linear discriminant model based face recognition using facial combined feature
Author(s): Dake Zhou; Xin Yang
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Paper 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.

Paper Details

Date Published: 1 December 2004
PDF: 2 pages
Opt. Eng. 43(12) doi: 10.1117/1.1812539
Published in: Optical Engineering Volume 43, Issue 12
Show Author Affiliations
Dake Zhou, Shanghai Jiaotong University (China)
Xin Yang, Shanghai Jiaotong Univ. (China)


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