Abstract: Aiming at the problem that eyeglasses occlusion severely affecteds the recognition rate, this paper described a method to remove eyeglasses from the frontal facial image. Firstly, the input facial image was reconstructed by PCA+ICA and then the region occluded by the eyeglasses was obtained by comparing the reconstructed facial image and the input facial image. Secondly, an eyeglasses facial image was synthesized by recursive error compensation. Finally, considering to the specialty of synthetic image, the improved feature weighted method was used to realize the face recognition. hhe experimental results show the method is simple and easy to realize, can generate natural looking facial images without eyeglasses. The average accuracy of face recognizing is 91%, and this method outperforms traditional methods.

Key words: Face recognition, Eyeglasses removal, Feature weighted, Principle component analysis (PCA)，Independent component analysis(ICA)