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- W200313090 abstract "A new approach is adopted in this paper based on Turk and Pentland’s eigenface method. It was found that the probability density function of the distance between the projection vector of the input face image and the average projection vector of the subject in the face database, follows Rayleigh distribution. In order to decrease the false acceptance rate and increase the recognition rate, the input face image has been recognized using two thresholds including the acceptance threshold and the rejection threshold. We also find out that the value of two thresholds will be close to each other as number of trials increases. During the training, in order to reduce the number of trials, the projection vectors for each subject has been averaged. The recognition experiments using the proposed algorithm show that the recognition rate achieves to 92.875% whilst the average number of judgment is only 2.56 times. Keywords—Eigenface, Face Recognition, Threshold, Rayleigh Distribution, Feature Extraction" @default.
- W200313090 created "2016-06-24" @default.
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- W200313090 date "2008-09-20" @default.
- W200313090 modified "2023-10-16" @default.
- W200313090 title "The Modified Eigenface Method using Two Thresholds" @default.
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- W200313090 doi "https://doi.org/10.5281/zenodo.1084238" @default.
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