Research Article

Real-Time Gender Recognition for Juvenile and Adult Faces

Table 4

The optimum point (OP) of receiver operating characteristic curve (ROC) and area under the curve (AUC) for the proposed feature engineering model (Gabor-meanDWT); Protocol: five cross validation (K5); Dataset: FERET; Classifier: SVM-RBF, SVM-Linear, Naive Bayes, and logistic regression(LR), respectively.

ClassifierGabor-meanDWT
AUCOptimum Point (FPR, TPR)

SVM (RBF)0.9980.012, 0.970 7
SVM (Linear)10,1
LR10,1
Naive Bayes0.767 00.588, 0.946