Boosting gender recognition performance with a fuzzy inference system
We used both inner and outer face cues. External cues improve classification performance for gender recognition. FIS framework improves classification results when combined with SVM. Unconstrained databases provide better results than that of constrained databases. We obtained 93.35% accuracy on Groups/LFW cross-database test.
gender recognition fuzzy inference system cross-database tests fuzzy rules