A Survey: Linear and Nonlinear PCA Based Face Recognition Techniques
Jamal Hussain Shah, Muhammad Sharif, Mudassar Raza, Aisha Azeem · 2013
Abstract: Face recognition is considered to be one of the most reliable biometric, when security issues are taken into concern. For this, feature extraction becomes a critical problem. Different methods are used for extraction of facial feature which are broadly classified into linear and nonlinear subspaces. Among the linear methods are Linear Discriminant Analysis (LDA),