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bob

bob

Bob is a signal-processing and machine learning toolbox originally developed by the Biometrics Group at Idiap, in Switzerland. For more information, please visit our website at http://www.idiap.ch/software/bob

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    A Python TkInter-based keypoint annotation tool for videos

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    Evaluation utilities for face recognition methods under spoofing attacks

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    Antispoofing for face recognition based on Optical Flow analysis

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

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    Bob's Audio Processing routines and classes

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    Basic tools for running biometric recognition experiments

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    Package that focus on analysis of demographic effects in biometrics

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    Implements biometric recognition algorithms for face image processing

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    This package contains the scripts to reproduce the experiments of the 2nd Cross-Spectrum Iris/Periocular Recognition competition

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    Implements speaker recognition algorithms

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    Vein biometrics recognition baselines

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    bob package to allow the running of biometric experiments on videos

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    Contains the source code to reproduce the experiments in the chapter entitled "On the Recognition Performance of BioHash-Protected Fingervein Templates" in the Handbook of Vascular Biometrics.

    NOTE: This repository contains the same code as the repository that was made available (at the same link) when the aforementioned chapter was released in 2020. The only difference is that, in this new repository, the commit history has been deleted, and the copyright and licensing information has been updated to follow the SPDX specification.

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    Contains the source code to reproduce the experiments in the chapter entitled "Towards Measuring the Amount of Discriminatory Information in Fingervein Biometric Characteristics Using a Relative Entropy Estimator" in the Handbook of Vascular Biometrics.

    NOTE: This repository contains the same code as the repository that was made available (at the same link) when the aforementioned chapter was released in 2020. The only difference is that, in this new repository, the commit history has been deleted, and the copyright and licensing information has been updated to follow the SPDX specification.

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    Source code to rerun experiments for the book chapter "Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey" in the 2016 Springer book "Face Recognition Across the Imaging Spectrum"

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    AR Face Database Access API for Bob

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    Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2015) Database

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    Bob's database interface for Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2017)

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    AT&T/ORL Face Database Access API for Bob

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    ATVS Keystroke DB