Evaluation of Optimization Methods Ant Colony and Imperialist Competitive Algorithm in Face Emotion Recognition
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Abstract
Facial expression gives important information about emotion of a person. Face emotion recognition is one of main applications
machine vision that widely attended in recent years. It can be used in areas of security, entertainment and human machine interface (HMI).
Emotion recognition usually uses of science image processing, speech processing, gesture signal processing and physiological signal processing.
In this paper two new algorithms based on a set of images to face emotion recognition has been proposed. This process involves three stages preprocessing,
feature extraction and classification. The obtained results show that success rate and running speed in Ant Colony for two emotions
fear and angry is better than ICA.
Keywords: Face emotion recognition, Projection profile, Imperialist Competitive Algorithm (ICA) and Ant Colony.
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