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• W2406183128 abstract "Face recognition is biometric pattern recognition, which is more acceptable and convenient for users compared with other biometric recognition traits. Among many problems in face recognition system, pose problem is considered as one of the major problem still unsolved in satisfactory level. This paper proposes a novel pose tolerant face recognition approach which includes feature extraction, pose transformation learning and recognition stages. In the first stage, 2DPCA is used as robust feature extraction technique. The linear regression is used as efficient and accurate transformation learning technique to create frontal face image from different posed face images in the second stage. In the last stage, Mahalanobis distance is used for recognition. Experiments on FERET and FEI face databases demonstrated the higher performance in comparison with traditional systems." @default.
• W2406183128 created "2016-06-24" @default.
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• W2406183128 date "2016-01-01" @default.
• W2406183128 modified "2023-09-27" @default.
• W2406183128 title "An Efficient Pose Tolerant Face Recognition Approach" @default.
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• W2406183128 doi "https://doi.org/10.1007/978-3-662-49247-5_10" @default.
• W2406183128 hasPublicationYear "2016" @default.
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