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%