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

Vein biometrics recognition baselines

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.

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

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

Software package to reproduce experiments of chapter 21, "An Introduction to Vein Presentation Attacks and Detection" of the "Handbook of Biometric Anti-Spoofing: Presentation Attack Detection 2nd Edition" book.

Software package to reproduce experiments of chapter 24, "Evaluation Methodologies for Biometric Presentation Attack Detection" of the "Handbook of Biometric Anti-Spoofing: Presentation Attack Detection 2nd Edition" book.

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