International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 109

Comparative Studies | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015

Comparative Study of PCA and LDA

Chetana Narkhede, Uma Nagaraj

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

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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/search_index_results_paperid.php?id=SUB152772, Volume 4 Issue 4, April 2015, 1107 - 1110

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