Abstract: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.
李金秀; 高新波; 杨 越; 肖 冰. 一种基于E-HMM的选择性集成人脸识别算法[J]. 电子与信息学报, 2009, 31(2): 288-292 .
Li Jin-xiu; Gao Xin-bo; Yang Yue; Xiao Bing. A Face Recognition Algorithm Based on Selective Ensemble of E-HMMs. , 2009, 31(2): 288-292 .