Research Article
Face Spoof Attack Recognition Using Discriminative Image Patches
Table 3
Comparison of the proposed method (with SVM, QDA, Naive-Bayes (NB), and Ensemble based classifiers) on REPLAY-ATTACK database with existing methods.
| Method | HTER (%) |
| Multi-LBP [23] | 20.25 | IQA [3] | 15.20 | GLCM (Unicamp) [24] | 15.62 | [4] | 16.10 | [4] | 13.87 | PCA + LBP + SVM [25] | 20.50 | Motion [16] | 11.70 | DoG-LBP + SVM [1] | 11.10 | LBP-TOP [26] | 8.51 | IDA [1] | 7.41 | Proposed: DF-SVM | 6.87 | Proposed: DF-NB | 8.01 | Proposed: DF-QDA | 7.30 | Proposed: DF-Ensemble | 6.23 | Proposed: CS-SVM | 6.25 | Proposed: CS-NB | 7.44 | Proposed: CS-QDA | 6.87 | Proposed: CS-Ensemble | 6.00 | Proposed: DEND-CLUSTERING-SVM | 5.98 | Proposed: DEND-CLUSTERING-NB | 8.87 | Proposed: DEND-CLUSTERING-QDA | 6.11 | Proposed: DEND-CLUSTERING-Ensemble | 5.00 | Proposed: IQA-SVM | 6.23 | Proposed: IQA-NB | 11.05 | Proposed: IQA-QDA | 7.75 | Proposed: IQA-Ensemble | 5.62 | Proposed: IPI-SVM | 7.50 | Proposed: IPI-NB | 8.30 | Proposed: IPI-QDA | 6.19 | Proposed: IPI-Ensemble | 6.00 | Proposed: CP-SVM | 8.37 | Proposed: CP-NB | 9.18 | Proposed: CP-QDA | 7.12 | Proposed: CP-Ensemble | 6.80 | Proposed: MAXDIST-SVM | 5.87 | Proposed: MAXDIST-NB | 8.01 | Proposed: MAXDIST-QDA | 6.12 | Proposed: MAXDIST-Ensemble | 5.00 |
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