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Issue No. 03 - May/June (2011 vol. 13)
ISSN: 1521-9615
pp: 31-37
Raul Queiroz Feitosa , Pontifical Catholic University of Rio de Janeiro
Dário Augusto Borges Oliveira , Pontifical Catholic University of Rio de Janeiro
Álvaro de Lima Veiga-Filho , Pontifical Catholic University of Rio de Janeiro
Raphael Pithan Brito , Montreal Informática
José Luiz Buonomo de Pinho , Montreal Informática
Antonio Carlos Censi , Montreal Informática
ABSTRACT
<p>Texture-based automatic face recognition (AFR) methods find global similarities between two faces by computing their local regional similarities. A novel method based on Fisher discriminant analysis is proposed to estimate each region's contribution to the global similarity score. Experimental results show that the method considerably improves recognition performance for texture-based AFR.</p>
INDEX TERMS
Biometrics, face recognition, local binary pattern, local phase quantization, software, scientific computing
CITATION

D. A. Oliveira, R. Q. Feitosa, A. C. Censi, R. P. Brito, &. d. Veiga-Filho and J. L. Pinho, "Weighting Estimation for Texture-Based Face Recognition Using the Fisher Discriminant," in Computing in Science & Engineering, vol. 13, no. , pp. 31-37, 2010.
doi:10.1109/MCSE.2010.150
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