Comparative Studies | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015
Comparative Study of PCA and LDA
Chetana Narkhede | Uma Nagaraj
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.
Keywords: Principle component analysis, linear discriminant analysis, face recognition, dimensionality reduction, Eigenfaces
Edition: Volume 4 Issue 4, April 2015,
Pages: 1107 - 1110
How to Cite this Article?
Chetana Narkhede, Uma Nagaraj, "Comparative Study of PCA and LDA", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB152772, Volume 4 Issue 4, April 2015, 1107 - 1110, #ijsrnet
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