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Basic tools for running biometric recognition experiments

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Scripts to run biometric recognition experiments

This package is part of the bob.bio packages, which allow to run comparable and reproducible biometric recognition experiments on publicly available databases.

This package contains basic functionality to run biometric recognition experiments. It provides a generic ./bin/verify.py script that takes several parameters, including:

  • A database and its evaluation protocol

  • A data preprocessing algorithm

  • A feature extraction algorithm

  • A biometric recognition algorithm

All these steps of the biometric recognition system are given as configuration files.

In this base class implementation, only a few algorithms (such as PCA, LDA, PLDA, BIC) are implemented, while most algorithms that are more specialized are provided by other packages, which are usually in the bob.bio namespace, such as:

Moreover, a script for score fusion ./bin/fusion_llr.py is provided to do score-level fusion using Logistic regression to combine outputs from different systems.

Additionally, a generic script ./bin/evaluate.py is provided that can generate several types of plots (such as ROC, DET and CMC curves) and compute several measures (such as HTER, Cllr) to evaluate your experiments.

Installation

To install this package – alone or together with other Packages of Bob – please read the Installation Instructions. For Bob to be able to work properly, some dependent packages are required to be installed. Please make sure that you have read the Dependencies for your operating system.

Documentation

For further documentation on this package, please read the Stable Version or the Latest Version of the documentation. For a list of tutorials on this or the other packages ob Bob, or information on submitting issues, asking questions and starting discussions, please visit its website.

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