Skip to main content

Utilitary package for antispoofing countermeasures

Project description

This package contains some utility functions to be used in antispoofing countermeasures codes. The goal of this package is to centralize some functions in commom. This package contains:
  • LDA Machine

  • PCA Machine

  • Function to normalize parameters

  • Performance measure functions

  • Eyes localization function

If you use this package and/or its results, please cite the following publications:

  1. Bob as the core framework used to run the experiments:

    @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},
    }

Installation

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 installer

Using pip is the easiest (shell commands are marked with a $ signal):

$ pip install antispoofing.utils

You can also do the same with easy_install:

$ easy_install antispoofing.utils

This 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.buildout

Download 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/buildout

These 2 commands should download and install all non-installed dependencies and get you a fully operational test and development environment.

Problems

In case of problems, please contact any of the authors of the paper.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

antispoofing.utils-1.1.1.zip (33.7 kB view details)

Uploaded Source

File details

Details for the file antispoofing.utils-1.1.1.zip.

File metadata

File hashes

Hashes for antispoofing.utils-1.1.1.zip
Algorithm Hash digest
SHA256 8c993ec56ee34631a3588ef1eddd1a395cf7c4816bcc0832d59fb9b170997655
MD5 1539dcf0ff0283c9e233736c7546d094
BLAKE2b-256 933dc07413d9965004b19a24595fcab230f2b53638e77cbde78a7855d1cbb5c1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page