A Comparative Studyon Kernel PCA and PCA Methods for Face Recognition
International Journal of Science and Research (IJSR)

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

ISSN: 2319-7064


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Comparative Studies | Computer Science & Engineering | India | Volume 5 Issue 5, May 2016

A Comparative Studyon Kernel PCA and PCA Methods for Face Recognition

Mohammad Mohsen Ahmadinejad, Elizabeth Sherly

A online face recognition system is a dynamic topic in the fields of biometrics, which Many achievements have been obtained in face recognition.The human face has a principal role which, is consists of complicated combination of features that allows us to communicate, express our feelings and emotions. Principal Components Analysis (PCA) and kernel principal components, Analysis (KPCA) are achievements that, have been obtained in face feature extraction and recognition. In this papar have compared a PCA algorithm with KPCA algorithm, which a LFW data set is used for Compare, Recognition accuracy, Variation in Facial Expression, Illumination changes, and Computation time of each method. To find Recall of each algorithm are used a LFW database which shows a 2D-PCA have better performance.

Keywords: KPCA, PCA, algorithm, comparative, error rates

Edition: Volume 5 Issue 5, May 2016

Pages: 1844 - 1847

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How to Cite this Article?

Mohammad Mohsen Ahmadinejad, Elizabeth Sherly, "A Comparative Studyon Kernel PCA and PCA Methods for Face Recognition", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV163830, Volume 5 Issue 5, May 2016, 1844 - 1847

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