antispoofing.motion Motion counter-measures for the PRINT-ATTACK database
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database Python library Python

antispoofing.motion Description

antispoofing.motion is a Python module that implements a motion-based counter-measure to spoofing attacks to face recognition systems as described at the paper Counter-Measures to Photo Attacks in Face Recognition: a public database and a baseline, by Anjos and Marcel, International Joint Conference on Biometrics, 2011.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{Anjos_IJCB_2011, author = {Anjos, Andr{\'{e}} and Marcel, S{\'{e}}bastien}, keywords = {Attack, Counter-Measures, Counter-Spoofing, Disguise, Dishonest Acts, Face Recognition, Face Verification, Forgery, Liveness Detection, Replay, Spoofing, Trick}, month = oct, title = {Counter-Measures to Photo Attacks in Face Recognition: a public database and a baseline}, journal = {International Joint Conference on Biometrics 2011}, year = {2011}, pdf = {http://publications.idiap.ch/downloads/papers/2011/Anjos_IJCB_2011.pdf} } 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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