FACIAL EMOTION RECOGNITION SYSTEM

FACIAL EMOTION RECOGNITION SYSTEM

R. SARAVANAN, S. KARTHICK

1Associate Professor, Department of CSA, SCSVMV [Deemed to be University], Enathur, Kanchipuram – 631561, India.

2PG Student, Department of CSA, SCSVMV [Deemed to be University], Enathur, Kanchipuram – 631561, India.

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Abstract - Face Emotion recognition play a significance role in fields like aid, border management, police work, banking services, and client product. Facial expressions is wide utilized in social communication since they convey heaps of knowledge regarding folks, like moods, emotions, and alternative things. during this paper, we tend to review facial feeling recognition victimisation CNNs and highlight totally different algorithms and their performance impact. Further, we tend to demonstrate that utilizing CNNs during this field - ends up in a considerable performance increase. By forming associate ensemble of recent deep CNNs, we tend to get a FER2013 take a look at accuracy of 91.2%, outperforming previous works while not requiring auxiliary coaching knowledge or face registration.

Key Words: Facial Expression, Confusion Matrix, Emotion Optimizer, Haarcascade classifier