Combining face verification experts

We study the combination of face verification algorithms in order to improve the verification performance. Although the different face experts that we consider provide their output scores on the basis of the same image, they are complementary to each other and their combination, using a simple sum rule, outperforms the best individual expert. Our experiments were conducted on the standard XM2VTS face database.