A Comparison of Different Face Recognition Algorithms

We make a comparison of five different face recognition algorithms. Four existed algorithm and a new Ensemble Voting Algorithm were be implemented. The algorithms training on a data set with 1815 faces, registering on a gallery set with 1027 faces, and test on four different probe sets. This paper will detail the parameter tuning process, and report the testing result via receiver operating characteristic (ROC) curve and verification accuracy.