Work

A Survey: Linear and Nonlinear PCA Based Face Recognition Techniques

Year: 2013

Type: article

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),

Authors: Jamal Hussain Shah, Muhammad Sharif, Mudassar Raza, Aisha Azeem

Language: English

Topic: Face and Expression Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2291368169

FWCI: 7.455

Cites: 65

Cited by: 70

Related to: 10