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Tools for running biometric recognition experiments using GMM-based approximation

Package Documentation

Run Gaussian mixture model based algorithms

This package is part of the signal-processing and machine learning toolbox Bob. This package is part of the packages, which allow to run comparable and reproducible biometric recognition experiments on publicly available databases.

This package contains functionality to run biometric recognition algorithms based on Gaussian mixture models (GMMs). It is an extension to the package, which provides the basic scripts. In this package, utilities that are specific for using GMM-based algorithms are defined:

  • Recognition algorithms based on Gaussian mixture models
  • Scripts to run the training of these algorithms in parallel


Complete Bob’s installation instructions. Then, to install this package, run:

$ conda install


For questions or reporting issues to this software package, contact our development mailing list.

File Type Py Version Uploaded on Size (md5) Source 2017-09-22 244KB