Face recognition with new classifier based on ICA features
Runjie Liu · Computer Engineering and Applications Journal · 2008
A face recognition method based on Nearest Feature Line(NFL) combined with Nearest Neighbor(NN) is proposed.Firstly,the human faces data project to a low dimensional space with PCA,and then the features of faces are extracted by FastICA.At last faces are recognized by a classifier which is composed by NFL combined with NN.This method adequately uses the maximum similarity and shortest distance among the same person's faces.The experiment results show that the method can get a high recognition rate.