Research Article

Face Spoof Attack Recognition Using Discriminative Image Patches

Table 4

Comparison of the proposed method (with SVM, QDA, Naive-Bayes (NB), and Ensemble based classifiers) on CASIA-FASD database with existing methods in terms of EER (%).

Method Low quality Normal quality High quality Warped photo attack Cut photo attack Video attack Overall

DoG [22] 13.0013.0026.0016.006.0024.0017.00
IQA [27]31.7022.20 5.69 26.10 18.31 34.41 32.45
LBP + SVM baseline 16.50 17.20 23.00 24.70 16.70 27.00 24.80
Multi-LBP baseline 12.7716.6626.6615.5525.5517.7717.77
HOOF [28]16.66 30.00 26.11 15.55 17.77 38.88 21.11
Mag-HOOF 17.22 33.33 22.77 12.22 20.00 36.60 22.22
HOOF + Multi-LBP 9.44 20.55 16.66 10.00 16.66 24.44 15.55
Motion-MLBP [23] 7.2213.3329.4414.4422.2213.3315.74
Motion magnification [23] 6.1123.3313.88 10.00 14.44 20.00 14.44
Color texture [29] 7.8010.10 6.40 7.505.40 8.10 6.20
Proposed: DF-SVM 7.536.656.286.948.217.976.71
Proposed: DF-NB 7.777.796.667.007.668.169.00
Proposed: DF-QDA 5.787.015.656.977.887.157.81
Proposed: DF-Ensemble 4.655.996.575.946.496.006.11
Proposed: CS-SVM 6.466.435.976.568.727.278.54
Proposed: CS-NB 6.696.305.997.498.017.688.69
Proposed: CS-QDA 7.338.896.097.438.217.687.97
Proposed: CS-Ensemble 6.515.595.305.316.137.127.59
Proposed: DEND-CLUSTERING-SVM 7.397.095.937.358.228.428.07
Proposed: DEND-CLUSTERING-NB 6.986.727.407.658.238.008.45
Proposed: DEND-CLUSTERING-QDA 7.116.897.907.036.998.898.67
Proposed: DEND-CLUSTERING-Ensemble 5.896.065.585.335.426.025.16
Proposed: IQA-SVM 6.327.005.977.737.717.697.33
Proposed: IQA-NB 6.667.666.327.338.458.008.22
Proposed: IQA-QDA 6.357.788.318.787.878.068.69
Proposed: IQA-Ensemble 6.026.575.767.276.877.277.27
Proposed: IPI-SVM 8.347.998.727.898.568.748.36
Proposed: IPI-NB 8.887.458.357.228.908.128.83
Proposed: IPI-QDA 6.017.336.887.338.789.148.57
Proposed: IPI-Ensemble 6.006.786.106.277.248.007.22
Proposed: CP-SVM8.878.239.087.649.378.909.50
Proposed: CP-NB 9.109.078.399.749.859.459.34
Proposed: CP-QDA 8.678.349.008.788.518.348.59
Proposed: CP-Ensemble 8.017.277.346.827.138.237.60
Proposed: MAXDIST-SVM 7.255.766.689.288.288.428.56
Proposed: MAXDIST-NB 7.376.987.337.338.008.318.00
Proposed: MAXDIST-QDA 7.116.787.328.848.028.428.40
Proposed: MAXDIST-Ensemble 5.266.005.305.785.495.025.07