antispoofing.lbp Texture (LBP) based counter-measures for the REPLAY-ATTACK database
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database Python library Python

antispoofing.lbp Description

antispoofing.lbp is a Python module that implements the LBP counter-measure to spoofing attacks to face recognition systems as described at the paper On the Effectiveness of Local Binary Patterns in Face Anti-spoofing, by Chingovska, Anjos and Marcel, presented at the IEEE BioSIG 2012 meeting.If you use this package and/or its results, please cite the following publications: The original paper with the counter-measure explained in details: @INPROCEEDINGS{Chingovska_BIOSIG_2012, author = {Chingovska, Ivana and Anjos, Andr{\'{e}} and Marcel, S{\'{e}}bastien}, 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}, journal = {IEEE BIOSIG 2012}, year = {2012}, } 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}, }If you wish to report problems or improvements concerning this code, please contact the authors of the above mentioned papers.Product's homepage

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