Face recognition using kernel classifiers

Abstract

Face reorganization to be one of the biggest challengers to the machine learning community Over three decades of extensive research has been earned out in this field by many researchers. In spite of many face recognition methods developed. Research on novel methods are needed m fulfill need of modern application// In the recent past kernel methods have teen successful!) applied to FACE recognition. We present a novel approach in face recognition with informative vector a machine a sparse gauss ion tor process kernel classifier. Experiments with the ORL . face database shows that recognition accuracies both these algorithms to be comparable . but informative vector machine . we also found that using automatic relevance determination kernel which with informative vector machine pan ides .1 novel approach lo dimension reduction is feature space. Overall. both sparse solution and dimension reduction* with informative vector machine reduces the storage space and computational cost while achieving a recognition accuracy close to supports vector machines