A Complementary Ordering Method for Class Imbalanced Problem

We propose a method called asymmetric bagging with vector complementary ordering (ABVCO) to handle the class unbalanced problem. The proposed approach is not dependent on artificially generated data or re-weighted data. It can avoid the synthesis of classifiers that favor the majority class. The method is applied to multi-modal biometric authentication for further raising the fusion classifier performances