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- W1968466404 abstract "Face recognition is still a very challenging task when the input face image is noisy, occluded by some obstacles, of very low-resolution, not facing the camera, and not properly illuminated. These problems make the feature extraction and consequently the face recognition system unstable. The proposed system in this paper introduces the novel idea of using Haar-like features, which have commonly been used for object detection, along with a probabilistic classifier for face recognition. The proposed system is simple, real-time, effective and robust against most of the mentioned problems. Experimental results on public databases show that the proposed system indeed outperforms the state-of-the-art face recognition systems." @default.
- W1968466404 created "2016-06-24" @default.
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- W1968466404 date "2013-09-01" @default.
- W1968466404 modified "2023-10-06" @default.
- W1968466404 title "Haar-like features for robust real-time face recognition" @default.
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- W1968466404 doi "https://doi.org/10.1109/icip.2013.6738633" @default.
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