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- W2093982715 abstract "In this paper, we propose a face recognition method using a fusion method based on bidirectional 2DPCA. While the previous PCA method computes the covariance matrix by using a one-dimensional vector, 2DPCA method computes the covariance matrix by directly using a direct two-dimensional image, and extracts the feature vectors by solving an eigenvalue problem. The proposed method recognizes the faces by applying the modified 2DPCA obtaining a linear transformation matrix using two covariance matrices which are the row and column covariance matrices. The experimental results indicate that the proposed method shows a higher and more stable recognition rate than the conventional methods." @default.
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- W2093982715 date "2008-11-01" @default.
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- W2093982715 title "Face recognition using a fusion method based on bidirectional 2DPCA" @default.
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- W2093982715 doi "https://doi.org/10.1016/j.amc.2008.05.032" @default.
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