A framework for executing the chain of presentation attack detection (PAD) experiments
Scripts to run anti-spoofing experiments
This package is part of the signal-processing and machine learning toolbox Bob. This package is the base of bob.pad family of packages, which allow to run comparable and reproducible presentation attack detection (PAD) experiments on publicly available databases.
This package contains basic functionality to run PAD experiments. It provides a generic API for PAD including:
- A database and its evaluation protocol
- A data preprocessing algorithm
- A feature extraction algorithm
- A PAD algorithm
All these steps of the PAD system are given as configuration files. All the algorithms are standardized on top of scikit-learn estimators.
In this base package, only a core functionality is implemented. The specialized algorithms should be provided by other packages, which are usually in the bob.pad namespace, like bob.pad.face.
Complete Bob’s installation instructions. Then, to install this package, run:
$ conda install bob.pad.base
For questions or reporting issues to this software package, contact our development mailing list.
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