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Volumn , Issue , 2006, Pages 121-127
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Analysis of principal component analysis-based and fisher discriminant analysis-based face recognition algorithms
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Author keywords
Eigenfaces; Eigenspace; Eigenvalue
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Indexed keywords
ADMINISTRATIVE DATA PROCESSING;
COVARIANCE MATRIX;
DISCRIMINANT ANALYSIS;
EIGENVALUES AND EIGENFUNCTIONS;
FACE RECOGNITION;
FINANCIAL DATA PROCESSING;
FISHER INFORMATION MATRIX;
IMAGE ENHANCEMENT;
INFORMATION THEORY;
MATRIX ALGEBRA;
(E ,2E) THEORY;
DIGITAL IMAGING;
EIGEN SPACE;
EIGENFACES;
EIGENVECTORS;
EUCLIDEAN DISTANCE (ED);
EXPERIMENTAL RESULTS;
FACE RECOGNITION ALGORITHMS;
FACE SPACE;
FACIAL EXPRESSIONS;
FACIAL RECOGNITION (FR);
FISHER DISCRIMINANT ANALYSIS (FDA);
HOLISTIC APPROACHES;
HUMAN EYES;
INPUT IMAGES;
INTERNATIONAL CONFERENCES;
PRINCIPAL COMPONENT ANALYSIS (PCA);
PRINCIPAL COMPONENTS;
RECOGNITION PROCESS;
TEST IMAGES;
TEST ING PHASE;
THRESHOLD VALUE(T);
TRAINING AND TESTING;
TRAINING PHASE;
PRINCIPAL COMPONENT ANALYSIS;
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EID: 46149087741
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICET.2006.335932 Document Type: Conference Paper |
Times cited : (13)
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References (15)
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