Feature selection for face recognition based on multi-objective evolutionary wrappers
We describe a methodology for the selection of relevant features for face recognition. Multiobjective wrappers are designed by means of genetic algorithms. We aim to minimize the number of features while maximizing discriminability. Results show that the proposed approach provides improved classification performance.
feature selection face recognition wrappers multi-objective genetic algorithms