Face recognition with info-margin maximization

Xipeng Qiu, Youdong Miao, Lide Wu

Abstract: We propose face recognition method with info-margin maximization (InfoMargin) from information theoretic viewpoint. It aims to achieve a low generalization error by maximizing the information divergence between the distributions of different classes while minimizing the entropy of the distribution in each single class. Experimental results show that our method outperforms the traditional face recognition methods.