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A Bayesian algorithm for detecting identity matches and fraud in image databases

06/20/2017

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by Gaurav Thakur, et al.

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A statistical algorithm for categorizing different types of matches and fraud in image databases is presented. The approach is based on a generative model of a graph representing images and connections between pairs of identities, trained using properties of a matching algorithm between images.

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