antispoofing.verification.gmm

Replay-Attack Face Verification Package Based on a Parts-Based Gaussian Mixture Models
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  • License:
  • GPL v3
  • Price:
  • FREE
  • Publisher Name:
  • Andre Anjos
  • Publisher web site:
  • http://www.tabularasa-euproject.org/

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antispoofing.verification.gmm Description

antispoofing.verification.gmm is a Bob satellite package that allows you to run a baseline Parts-Based GMM face verification system on the Replay Attack Database. It explains how to setup this package, generate the Universal Background Model (UBM), client models and finally, scores.If you use this package and/or its results, please cite the following publications:1. The Replay-Attack Database and baseline GMM results for it: @inproceedings{Chingovska_BIOSIG_2012, author = {I. Chingovska AND A. Anjos AND S. Marcel}, keywords = {Attack, Counter-Measures, Counter-Spoofing, Face Recognition, Liveness Detection, Replay, Spoofing}, month = sep, title = {On the Effectiveness of Local Binary Patterns in Face Anti-spoofing}, booktitle = {IEEE BioSIG 2012}, year = {2012}, }2. Bob as the core framework used for these results: @inproceedings{Anjos_ACMMM_2012, author = {A. Anjos AND L. El Shafey AND R. Wallace AND M. G\"unther AND C. McCool AND S. Marcel}, title = {Bob: a free signal processing and machine learning toolbox for researchers}, year = {2012}, month = oct, booktitle = {20th ACM Conference on Multimedia Systems (ACMMM), Nara, Japan}, publisher = {ACM Press}, }If you wish to report problems or improvements concerning this code, please contact the authors of the above mentioned papers.InstallationNoteIf you are reading this page through our GitHub portal and not through PyPI, note the development tip of the package may not be stable or become unstable in a matter of moments.Go to http://pypi.python.org/pypi/antispoofing.verification.gmm to download the latest stable version of this package.There are 2 options you can follow to get this package installed and operational on your computer: you can use automatic installers like pip (or easy_install) or manually download, unpack and use zc.buildout to create a virtual work environment just for this package.Using an automatic installerUsing pip is the easiest (shell commands are marked with a $ signal):pip install antispoofing.verification.gmmYou can also do the same with easy_install: easy_install antispoofing.verification.gmmThis will download and install this package plus any other required dependencies. It will also verify if the version of Bob you have installed is compatible.This scheme works well with virtual environments by virtualenv or if you have root access to your machine. Otherwise, we recommend you use the next option.Using zc.buildoutDownload the latest version of this package from PyPI and unpack it in your working area. The installation of the toolkit itself uses buildout. You don't need to understand its inner workings to use this package. Here is a recipe to get you started: python bootstrap.py $ ./bin/buildoutThese 2 commands should download and install all non-installed dependencies and get you a fully operational test and development environment.NoteThe python shell used in the first line of the previous command set determines the python interpreter that will be used for all scripts developed inside this package. Because this package makes use of Bob, Product's homepage


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