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

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.

Contains exercise 6 for the Reproducibility course, which includes Python packaging implemented.

This package contains python code to reproduce experiments and results described in the IEEE T-BIOM paper: "Detection of Age-Induced Makeup Attacks on Face Recognition Systems Using Multi-Layer Deep Features"

Binary Segmentation Benchmark Package for Bob

STARE Database Access API for Bob

RIM-ONE Release 3 Database API for Bob

REFUGE Database Access API for Bob

IOSTAR Database Access API for Bob

HRF Database Access API for Bob

Drishti-GS1 Database Access API for Bob

DRIONS-DB Database Interface API for Bob