Research Article
Optimized Periocular Template Selection for Human Recognition
Table 3
Survey on classification through periocular biometric.
| Authors | Classification type | Algorithm | Classifier | Testing database | Accuracy (%) |
|
Abiantun and Savvides [13] | Left versus right eye | Adaboost, Haar, Gabor features | LDA, SVM | ICE | 89.95% |
Bhat and Savvides [14] | Left versus right eye | ASM | SVM | ICE, LG | Left eye 91%, right eye 89% | Merkow et al. [15] | Gender | LBP | LDA, SVM, PCA | Downloaded from web | 84.9% | Lyle et al. [16] | Gender and ethnicity | LBP | SVM | FRGC | Gender 93%, ethnic 91% |
|
|