Binarized genetic algorithm
                                                        
                                                                                                            
                                                            Facial recognition
                                                        
                                                                                                            
                                                            Facial emotion
                                                        
                                                                                                            
                                                            Histograms of oriented gradients
                                                        
                                                                                                            
                                                            Random forest
                                                        
                                                                                                            
                                                            Yale face dataset
                                                        
                                                                                                                                                                                         
                                                                        
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                                        Most recognition system of human facial emotions are assessed solely on accuracy, even if other performance criteria are also thought to be important in the evaluation process such as sensitivity, precision, F-measure, and G-mean. Moreover, the most common problem that must be resolved in face emotion recognition systems is the feature extraction methods, which is comparable to traditional manual feature extraction methods. This traditional method is not able to extract features efficiently. In other words, there are redundant amount of features which are considered not significant, which affect the classification performance. In this work, a new system to recognize human facial emotions from images is proposed. The HOG (Histograms of Or
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