A Face Recognition Algorithm Based on Selective Ensemble of E-HMMs

The performance of Embedded Hidden Markov Model (E-HMM) based face recognition algorithm heavily depends on the selection of model parameters. A selective ensemble of multi E-HMMs based face recognition algorithm is proposed, selecting many accurate and diverse models for ensemble face recognition. Comparing with the traditional E-HMM based face recognition algorithm, the experimental results illustrate that the proposed method can not only obtain better and more stable recognition effect, but also achieve higher generalization ability.