Sparse representation based multi-classifier fusion approach for occluded face recognition
Jun Wang · Jisuanji yingyong yanjiu · 2013
This paper proposed a sparse representation based multi-classification fusion(WMSRC) algorithm on the basis of analyzing different discrimination ability of the various classifiers.In WMSRC,it firstly divided the face image into partitions by multi-resolution blocking.Then for each block,it obtained SRC based classifiers.Finally,performed the multiple classifiers fusion by weighted fusion criterion,which based on the weight and posterior probability of the various classifiers.Experiment results on the AR and Yale database prove that the algorithm performance is efficient.