A Bayesian algorithm for detecting identity matches and fraud in image databases
classification
💻 cs.CV
stat.ML
keywords
algorithmdatabasesfraudimageimagesmatchesapproachbayesian
read the original 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.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.