Face Spoof Attack Recognition Using Discriminative Image Patches
Table 1
Summary of different face spoof detection techniques.
Method
Main features used
Pros and cons
Motion analysis based methods
Motion detection [10] Eye-blink detection using conditional random fields (CRF) [7] Face motion detection using Optical Flow Lines (OFL) [10] Context-based using correlation between face motion and background motion [17]
(i) Good generalization capability (ii) High computational cost (iii) Easily circumvented by fake motions
Texture analysis based methods
Face texture using Lambertian model [8] Face texture using LBPs [17] Texture + shape combining LBPs + Gabor Wavelets + HOG [5]
(i) Fast response (ii) Low computational cost (iii) Poor generalization capability
Hardware-based methods
Multimodality: face and voice [20] Thermal images [19] Reflectance in 3D [21]
(i) Better generalization capability (ii) Extra hardware requirement (iii) High cost of the system