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- W2004693663 abstract "The paper presents a novel approach for solving face recognition problem. We combine Gabor filters and Principal Component Analysis (PCA) to extract feature vectors; then we apply Support Vector Machine (SVM), the most powerful discriminative method, and AdaBoost, a meta-algorithm, for classification. Experiments for the proposed method have been conducted on two public face database AT&T and FERET. The results show that the proposed method could improve the classification rates." @default.
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- W2004693663 date "2011-07-01" @default.
- W2004693663 modified "2023-10-16" @default.
- W2004693663 title "Face recognition based on Gabor features" @default.
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- W2004693663 doi "https://doi.org/10.1109/euvip.2011.6045542" @default.
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