The methods of improving variable illumination for face recognition

The illumination fluctuation is one of the important factors that influence the precision of face recognition. When environmental illumination is changed, the implementation method which is often used in the laboratory may not be effective any longer. Several traditional methods for compensating and improving variable illumination are discussed in this paper. Then a novel algorithm based on wavelet analysis is presented to find the invariance of illumination. Several empirical tests are given to demonstrate the effectiveness of our method. The method can be applied to a real system. And it can also improve the system robustness and adaptability.