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

Computer Vision and Pattern Recognition 2017-06-21 v1 Machine Learning
Authors: Gaurav Thakur
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Abstract

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.

Keywords

biometric authentication bayesian deep learning biometric recognition

Cite

@article{arxiv.1706.06230,
  title  = {A Bayesian algorithm for detecting identity matches and fraud in image databases},
  author = {Gaurav Thakur},
  journal= {arXiv preprint arXiv:1706.06230},
  year   = {2017}
}

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