Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Biometrics
Non-intrusive liveness detection by face images
Image and Vision Computing
Face liveness detection from a single image with sparse low rank bilinear discriminative model
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Face detection with the modified census transform
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Computer Vision Using Local Binary Patterns
Computer Vision Using Local Binary Patterns
Handbook of Face Recognition
Competition on counter measures to 2-D facial spoofing attacks
IJCB '11 Proceedings of the 2011 International Joint Conference on Biometrics
Counter-measures to photo attacks in face recognition: A public database and a baseline
IJCB '11 Proceedings of the 2011 International Joint Conference on Biometrics
Bob: a free signal processing and machine learning toolbox for researchers
Proceedings of the 20th ACM international conference on Multimedia
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User authentication is an important step to protect information and in this field face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using low-tech cheap equipments. This article presents a countermeasure against such attacks based on the LBP−TOP operator combining both space and time information into a single multiresolution texture descriptor. Experiments carried out with the REPLAY ATTACK database show a Half Total Error Rate (HTER) improvement from 15.16% to 7.60%.