Combining classifiers for enhanced face recognition

  title={Combining classifiers for enhanced face recognition},
  author={Salima Nebti and BOUKEMARA FADILA},
This work is devoted to improve face recognition accuracy through a combination of two known effective classifiers namely Support Vector Machines (SVM) and Hidden Markov Models (HMM). The SVM is fed with PCA features and the used HMM is a one dimensional seven state model whose features are based on singular value decomposition (SVD). We used the majority vote combination rule to fuse the outputs of the considered SVM and HMM; using this representation a high recognition rate of 100% has been… CONTINUE READING

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