Comparing Face Emotions with Genetic Algorithm and Particle Swarm Optimization

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Mehdi Akhari Oskuyee


Emotion recognition in branches facial expressions, vocal, gesture and physiology signal recognition are study. Facial expressions
play an important role in personality communication. In this paper we want similar eye and lip to regular and irregular ellipse. The main purpose
of this paper is introducing a Particle Swarm Optimization (PSO) algorithm to optimize eye and lip ellipse characteristics. Then the performance
two optimization methods including Particle Swarm Optimization (PSO) algorithm and Genetic Algorithm (GA) for this issue will be discussed.
The obtained results show that success rate and running speed in PSO algorithm is better than Genetic algorithm.

Keywords: Feature extraction, Projection profile, Eye and lip ellipse, Particle Swarm Optimization algorithm and Genetic algorithm.


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