Face recognition based on linear classifiers combination

摘要

In this paper, an approach that uses a combination of linear classifiers is applied to face recognition. We propose a novel criterion for the combination, the maximum complementariness criterion, which is used to construct the fitness function for a genetic algorithm (GA). A GA is then used to generate the rational weights for the classifiers. Experiments show that our approach can successfully improve the performance of the classification for face recognition using the commonly used Fisherface features.