Gender Classification Based on Multiscale Facial Fusion Feature

Table 5

The comparison of different approaches to gender classification.

Approach	Acc
Context [29]	66.9%
Appearance [29]	69.6%
Gabor + Adaboost [13]	70.2%
LBP + Adaboost [13]	71.0%
boostedGabor + SVM [13]	73.3%
Context + Appearance [29]	74.1%
boosted LBP + SVM [13]	74.9%
ML-LPQ + SVM [14]	79.1%
ML-BSIFT + SVM [19]	82.8%
Ours	86.11%