{
    "info": {
        "author": "Pedro Tome",
        "author_email": "pedro.tome@idiap.ch",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Framework :: Bob",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Natural Language :: English",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": ".. vim: set fileencoding=utf-8 :\r\n.. Pedro Tome <pedro.tome@idiap.ch>\r\n.. Thu Jan 15 12:51:09 CEST 2015\r\n\r\n.. image:: http://img.shields.io/badge/docs-stable-yellow.png\r\n   :target: http://pythonhosted.org/bob.palmvein/index.html\r\n.. image:: http://img.shields.io/badge/docs-latest-orange.png\r\n   :target: https://www.idiap.ch/software/bob/docs/latest/bioidiap/bob.palmvein/master/index.html\r\n.. image:: https://travis-ci.org/bioidiap/bob.palmvein.svg?branch=master\r\n   :target: https://travis-ci.org/bioidiap/bob.palmvein\r\n.. image:: https://coveralls.io/repos/bioidiap/bob.palmvein/badge.png\r\n   :target: https://coveralls.io/r/bioidiap/bob.palmvein\r\n.. image:: https://img.shields.io/badge/github-master-0000c0.png\r\n   :target: https://github.com/bioidiap/bob.palmvein/tree/master\r\n.. image:: http://img.shields.io/pypi/v/bob.palmvein.png\r\n   :target: https://pypi.python.org/pypi/bob.palmvein\r\n.. image:: http://img.shields.io/pypi/dm/bob.palmvein.png\r\n   :target: https://pypi.python.org/pypi/bob.palmvein\r\n\r\n\r\n===================================\r\n The Palmvein Recognition Library\r\n===================================\r\n\r\nWelcome to the Palm vein Recognition Library based on Bob.\r\nThis library is designed to perform a fair comparison of palm vein recognition algorithms.\r\nIt contains scripts to execute various kinds of palm vein recognition experiments on a variety of palm vein image databases, and running the help is as easy as going to the command line and typing::\r\n\r\n  $ bin/palmveinverify.py --help\r\n\r\n\r\nAbout\r\n-----\r\n\r\nThis library is developed at the `Biometrics group <http://www.idiap.ch/scientific-research/research-groups/biometric-person-recognition>`_ at the `Idiap Research Institute <http://www.idiap.ch>`_.\r\nThe PalmVeinRecLib is designed to run palm vein recognition experiments in a comparable and reproducible manner.\r\n\r\n.. note::\r\n  When you are working at Idiap_, you might get a version of the PalmVeinRecLib, where all paths are set up such that you can directly start running experiments.\r\n  Outside Idiap_, you need to set up the paths to point to your databases, please check the documentation on how to do that.\r\n\r\nDatabases\r\n.........\r\nTo achieve this goal, interfaces to many publicly available facial image databases are contained, and default evaluation protocols are defined, e.g.:\r\n\r\n- CASIA Multi-Spectral Palmprint Database [http://biometrics.idealtest.org/dbDetailForUser.do?id=6]\r\n- VERA Palm vein Database [http://www.idiap.ch/scientific-research/resources]\r\n\r\nAlgorithms\r\n..........\r\nTogether with that, a broad variety of traditional and state-of-the-art palm vein recognition algorithms such as:\r\n\r\n- Local Binary Pattern Histogram Sequences [ZSG+05]_\r\n\r\nis provided.\r\nFurthermore, tools to evaluate the results can easily be used to create scientific plots, and interfaces to run experiments using parallel processes or an SGE grid are provided.\r\n\r\nExtensions\r\n..........\r\nOn top of these already pre-coded algorithms, the PalmVeinRecLib provides an easy Python interface for implementing new image preprocessors, feature types, palm vein recognition algorithms or database interfaces, which directly integrate into the palmvein recognition experiment.\r\nHence, after a short period of coding, researchers can compare their new invention directly with already existing algorithms in a fair manner.\r\n\r\nReferences\r\n..........\r\n\r\n.. [ZSG+05]  *W. Zhang, S. Shan, W. Gao, X. Chen and H. Zhang*. **Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition**. Computer Vision, IEEE International Conference on, 1:786-791, 2005.\r\n\r\nInstallation\r\n------------\r\n\r\nTo download the PalmVeinRecLib, please go to http://pypi.python.org/pypi/bob.palmvein, click on the **download** button and extract the .zip file to a folder of your choice.\r\n\r\nThe PalmVeinRecLib is a satellite package of the free signal processing and machine learning library Bob_.\r\nThese two dependencies have to be downloaded manually, as explained in the following.\r\n\r\nBob\r\n...\r\n\r\nYou will need a copy of Bob in version 2.0 or newer to run the algorithms.\r\nPlease download Bob_ from its webpage.\r\nAfter downloading, you should go to the console and write::\r\n\r\n  $ python bootstrap-buildout.py\r\n  $ bin/buildout\r\n\r\nThis will download all required packages and install them locally.\r\nIf you don't want all the database packages to be downloaded, please remove the bob.db.[database] lines from the ``eggs`` section of the file **buildout.cfg** in the main directory before calling the three commands above.\r\n\r\nTest your installation\r\n......................\r\n\r\nTo verify that your installation worked as expected, you might want to run our test utilities::\r\n\r\n  $ bin/nosetests\r\n\r\nUsually, all tests should pass, if you use the latest packages of Bob_.\r\nWith other versions of Bob_, you might find some failing tests, or some errors might occur.\r\n\r\n\r\nCite our paper\r\n--------------\r\n\r\nIf you use the PalmVeinRecLib in any of your experiments, please cite the following paper::\r\n\r\n  @inproceedings{Tome_ICB2015-SpoofingPalmvein,\r\n         author = {Tome, Pedro and Marcel, S{\\'{e}}bastien},\r\n       projects = {Idiap, BEAT, TABULA RASA},\r\n          month = may,\r\n          title = {On the Vulnerability of Palm Vein Recognition to Spoofing Attacks},\r\n      booktitle = {The 8th IAPR International Conference on Biometrics (ICB)},\r\n           year = {2015},\r\n            pdf = {http://publications.idiap.ch/downloads/papers/2015/Tome_ICB2015-SpoofingPalmvein.pdf}\r\n            }\r\n\r\n\r\n\r\n.. _bob: http://www.idiap.ch/software/bob\r\n.. _idiap: http://www.idiap.ch\r\n.. _bioidiap at github: http://www.github.com/bioidiap",
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