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Wednesday, November 15 • 11:40 - 12:00
Facial Recognition Techniques Comparaison : Principle Component Analysis (PCA), Two-Dimensional (2D-PCA), and discrete cosine transform (DCT)

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In this paper, three different facial recognition algorithms are evaluated and compared, namely, principle component analysis (PCA), two-dimensional PCA (2D-PCA), and discrete cosine transform (DCT). The effect of the presence of the Gaussian and salt and Pepper noises was also considered during the evaluation of these algorithms. The results show that the best performance was obtained using the DCT algorithm with 92% dominant eigenvalues and 95.25 % accuracy.


Wednesday November 15, 2017 11:40 - 12:00
Salon A/B 180 Portugal Cove Rd, St. John's, NL A1B 2N4, Canada

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