HUMAN AGE -GROUP ESTIMATION BASED ON ANFIS USING THE HOG AND LBP FEATURES
H Abrishami Moghadam, Sohrab Khanmohammadi, Sahraneh Ghaemi, Farshad Samadi · 2013
In this paper, a new age-group estimation method is proposed based on fuzzy inference system. Using this method, the facial images could be classified in four groups with more accuracy for classification of marginal ages. The proposed algorithm is divided into 3 stages. At first stage, the images are preprocessed. Then, the image features are extracted using histograms of oriented gradients (HOG) and local binary patterns (LBP). Finally, by using neural networks and adaptive neuro-fuzzy inference system (ANFIS) the age-groups are classified. Experimental results show that by using this method, the agegroup classification is done with better performance and the accuracy of age estimation is improved.