Comparative Study of PCA and LDA
Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 4)Publication Date: 2015-04-05
Authors : Chetana Narkhede; Uma Nagaraj;
Page : 1107-1110
Keywords : Principle component analysis; linear discriminant analysis; face recognition; dimensionality reduction; Eigenfaces;
- A Reform in the Department of Nursing Sciences, Ebonyi State University, Abakaliki, Nigeria Using Transformational Leadership Style
- Alternative Strategies for Improving Internally Generated Revenue (IGR) of State Universities in Nigeria: Implications for Ebonyi State University (EBSU) Abakaliki
- Determinants of practice of blood donation among undergraduate students of Ebonyi State University Abakaliki, Southeast Nigeria
- Awareness and Utilization of Agora e-Resources Database by Agricultural Undergraduate Students of Ebonyi State University Abakaliki, Nigeria
- Epidemiology of Haemolysins among Blood Donors in Abakaliki, Ebonyi State, Nigeria
Abstract
Face recognition gains a lot of courtesy in recent years due to its various applications in our societies. In the appearance-based face recognition classical principal component analysis (PCA) and linear component analysis (LDA) algorithms are widely used. Small database marks the robust result of these algorithms principally. These algorithms are mainly used for feature point extraction and dimensionality reduction in 2D face recognition. We present a comparison of both the algorithms and combination of these two algorithms.
Other Latest Articles
- Use of Bamboo as Building Material
- An Analysis of Transformer Raw Materials Planning by Using Lot Sizing Technique (A Study Case of PT. XYZ Indonesia)
- Studies on Epiphytic Microalgae in Two Freshwater Lakes of Central Tamil Nadu
- Assessment of Bacteriological Quality of Drinking Water in Srikakulam District
- Implementation of Hadoop Based Framework for Parallel Processing of Biological Data
Last modified: 2021-06-30 21:44:39