Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.

Scripts for administrative actions on Bob, creating/configuring build environments and other tidy bits.

Experiment Evaluation Metrics for Bob

Helps projects building Bob/Python C++ extensions

Implements tools for spoofing or presentation attack detection in face biometrics.

Basic tools for running spoofing or presentation attack detection (PAD) experiments

A collection of Matlab/GNU Octave functions for robot programming-by-demonstration that combine statistical learning, dynamical systems and optimal control.

The BEAT prefix folder for the BEAT tutorial

Tools for spoofing or presentation attack detection in vein biometrics

IARPA Janus Benchmark C (IJB-C) Database Interface

A repository to build the documentation of all Bob packages in one page

Face recognition experiments and analysis

Interface to the Unicamp Video-Attack Database (UVAD) database

OULU-NPU Database Access in Bob

Package that implements the results of the paper "On the Use of Convolutional Neural Networks for \ Speech Presentation Attack Detection" published in ISBA 2018

A local editor for BEAT objects, including a graphical toolchain editor and a simple web server.