Abstract
Expression variations pose a serious problem to automatic face recognition. In this paper a robust expression invariant face recognition algorithm is proposed using a single image for training. Discrete Wavelet Transform (DWT) using Coiflets as the basis function is applied to the face images. Then SIFT descriptors of the combination of Approximation and Detail subbands are computed for each of the face images. Matching is done using Angle Distance Similarity measure. The algorithm has been tested on the Essex Grimace database and only a single image has been used for training. The results are promising and have been compared with standard SIFT based method, standard DWT based method, Eigenfaces & Fisherfaces method with single training images.
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