Jeffrey R. Paone

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Biometric identification systems must be able to distinguish between individuals even in situations where the bio-metric signature may be similar, such as in the case of identical twins. This paper presents experiments done in facial recognition using data from a set of images of twins. This work establishes the current state of facial recognition in(More)
— Facial recognition algorithms should be able to operate even when similar-looking individuals are encountered, or even in the extreme case of identical twins. An experimental data set comprised of 17 486 images from 126 pairs of identical twins (252 subjects) collected on the same day and 6864 images from 120 pairs of identical twins (240 subjects) with(More)
The performance of face recognition algorithms is affected both by external factors and internal subject characteristics [1]. Reliably identifYing these factors and understanding their behavior on performance can potentially serve two important goals-to predict the performance of the algorithms at novel deployment sites and to design appropriate acquisition(More)
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