Robust image based face recognition

In face recognition literature, 2D image based approaches are possibly the most promising ones. However, the 2D images/patterns can change dramatically in practice. We first study the performance degradation due to 2D distortions and illumination variations on the input images. We then propose several methods to improve the system performance. Finally experiments are carried out using FERET and other face databases to demonstrate the improvement of one particular system-the subspace LDA system.

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