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In this paper, we present a new face recognition algorithm based on Gabor wavelet coefficients fusion. We first take the coefficients of Gabor wavelet transform deriving form face images as eigenvectors. And then, we get the new eigenvectors by fusing the Gabor coefficient. Then according similarity function, we recognize face images under different training collections. At last, we give recognition result on ORL face database, and comparison to the algorithm of none-fusion.