A Comparative Study of Feature Extraction Using PCA and LDA for Face Recognition

• Main Authors: Muda, A. K., Yun-Huoy, C., Ahmad, S.
• Format: Conference or Workshop Item
• Language: English
• Published: 2011
• Subjects: T Technology (General)
• Online Access: http://eprints.utem.edu.my/id/eprint/244/1/P140.pdf; http://eprints.utem.edu.my/id/eprint/244/
• Institution: Universiti Teknikal Malaysia Melaka

Feature extraction is important in face recognition. This paper presents a comparative study of feature extraction using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) for face recognition. The evaluation parameters for the study are time and accuracy of each method....