Research on Application of Artificial Bee Colony Algorithm in Facial Expression Recognition

Abstract

Emoticon classification is an important step in facial expression recognition. In order to improve the recognition rate. Ensemble Learning method use multiple classifiers to determine the expression category. However, among those classifiers in Ensemble Learning, there are some classifiers that are redundancy and poor performance. In order to solve this problem, Artificial Bee Colony algorithm is used to assign different weights to different classifiers, which gives high weight to the classifier performance better, otherwise, it gives low or zero weight to the classifier performance bad. So as to optimize the selection. Experimental results show that this method not only improves the expression recognition rate, but also reduces the computational cost.