Abstract: Neural network ensemble is applied to expression invariant face recognition.The facial features used are extracted through two-dimension principal component analysis.Several neural networks are trained for an eigenspace of difference expressions respectively，and their results are combined with another neural network to recognize the test sets.Experimental results show that the recognition accuracy of the proposed approach is better than individual neural network.