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

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

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

Vein biometrics recognition baselines

Bob access API for Fisher's Iris Flower Dataset

Helps projects building Bob/Python C++ extensions

Experiment Evaluation Metrics for Bob

Software package to reproduce "Spoofing Deep Face Recognition with Custom Flexible Masks" published on BTAS 2018

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

Scripts and documentation for speech diarization pipeline that relies on pyannote framework

Binary Segmentation Benchmark Package for Bob

REFUGE Database Access API for Bob

IOSTAR Database Access API for Bob