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- W1993014263 abstract "Facial occlusions such as eyeglasses, hairs and beards decrease the performance of face recognition algorithms. To improve the performance of face recognition algorithms, this paper proposes a novel framework of face recognition combined with the occluded-region detection method. In this paper, we detect occluded regions using Fast-Weighted Principal Component Analysis (FW-PCA) and use the occluded regions as weights for matching face images. To demonstrate the effectiveness of the proposed framework, we use two face recognition algorithms: Local Binary Patterns (LBP) and Phase-Only Correlation (POC). Experimental evaluation using public face image databases indicates performance improvement of the face recognition algorithms for face images with natural and artificial occlusions." @default.
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- W1993014263 date "2013-06-01" @default.
- W1993014263 modified "2023-09-23" @default.
- W1993014263 title "Performance improvement of face recognition algorithms using occluded-region detection" @default.
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- W1993014263 doi "https://doi.org/10.1109/icb.2013.6613012" @default.
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