Journal of Electrical and Computer Engineering / 2016 / Article / Tab 4 / 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 ] 13.00 13.00 26.00 16.00 6.00 24.00 17.00 IQA [27 ] 31.70 22.20 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 12.77 16.66 26.66 15.55 25.55 17.77 17.77 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 ] 7.22 13.33 29.44 14.44 22.22 13.33 15.74 Motion magnification [23 ] 6.11 23.33 13.88 10.00 14.44 20.00 14.44 Color texture [29 ] 7.80 10.10 6.40 7.50 5.40 8.10 6.20 Proposed: DF-SVM 7.53 6.65 6.28 6.94 8.21 7.97 6.71 Proposed: DF-NB 7.77 7.79 6.66 7.00 7.66 8.16 9.00 Proposed: DF-QDA 5.78 7.01 5.65 6.97 7.88 7.15 7.81 Proposed: DF-Ensemble 4.65 5.99 6.57 5.94 6.49 6.00 6.11 Proposed: CS-SVM 6.46 6.43 5.97 6.56 8.72 7.27 8.54 Proposed: CS-NB 6.69 6.30 5.99 7.49 8.01 7.68 8.69 Proposed: CS-QDA 7.33 8.89 6.09 7.43 8.21 7.68 7.97 Proposed: CS-Ensemble 6.51 5.59 5.30 5.31 6.13 7.12 7.59 Proposed: DEND-CLUSTERING-SVM 7.39 7.09 5.93 7.35 8.22 8.42 8.07 Proposed: DEND-CLUSTERING-NB 6.98 6.72 7.40 7.65 8.23 8.00 8.45 Proposed: DEND-CLUSTERING-QDA 7.11 6.89 7.90 7.03 6.99 8.89 8.67 Proposed: DEND-CLUSTERING-Ensemble 5.89 6.06 5.58 5.33 5.42 6.02 5.16 Proposed: IQA-SVM 6.32 7.00 5.97 7.73 7.71 7.69 7.33 Proposed: IQA-NB 6.66 7.66 6.32 7.33 8.45 8.00 8.22 Proposed: IQA-QDA 6.35 7.78 8.31 8.78 7.87 8.06 8.69 Proposed: IQA-Ensemble 6.02 6.57 5.76 7.27 6.87 7.27 7.27 Proposed: IPI-SVM 8.34 7.99 8.72 7.89 8.56 8.74 8.36 Proposed: IPI-NB 8.88 7.45 8.35 7.22 8.90 8.12 8.83 Proposed: IPI-QDA 6.01 7.33 6.88 7.33 8.78 9.14 8.57 Proposed: IPI-Ensemble 6.00 6.78 6.10 6.27 7.24 8.00 7.22 Proposed: CP-SVM 8.87 8.23 9.08 7.64 9.37 8.90 9.50 Proposed: CP-NB 9.10 9.07 8.39 9.74 9.85 9.45 9.34 Proposed: CP-QDA 8.67 8.34 9.00 8.78 8.51 8.34 8.59 Proposed: CP-Ensemble 8.01 7.27 7.34 6.82 7.13 8.23 7.60 Proposed: MAXDIST-SVM 7.25 5.76 6.68 9.28 8.28 8.42 8.56 Proposed: MAXDIST-NB 7.37 6.98 7.33 7.33 8.00 8.31 8.00 Proposed: MAXDIST-QDA 7.11 6.78 7.32 8.84 8.02 8.42 8.40 Proposed: MAXDIST-Ensemble 5.26 6.00 5.30 5.78 5.49 5.02 5.07