Face recognition based on a group decision-making combination approach

This paper proposes a novel and real-time classifiers combination approach, group decision-making combination (GDC) approach, which can dynamically select the classifiers and perform linear combination. We also prove that the orthogonal wavelet transform can be regarded as an effective image's preprocessing tool adapted to classifiers combination. GDC has been successfully used for face recognition, which can improve on the recognition rate for the algebraic features. Experiment results also show that it is superior to the conventional combination method, majority voting method.