Facial Expression Recognition – Review

Umesh Balkrishna Chavan, Dinesh B Kulkarni
Department of Information Technology, Walchand College Of Engineering, Sangli, Maharashta, India
International Journal of Latest Trends in Engineering and Technology (IJLTET), Volume 3, Issue 1, 2013


   title={Facial Expression Recognition-Review},

   author={Chavan, Umesh Balkrishna and Kulkarni, Dinesh B},



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Expression recognition (happy, sad, disgust, surprise, angry, fear expressions) is application of advanced object detection, pattern recognition and classification task. Facial expression recognition techniques detecting emotion of people’ using their facial expressions. This has found applications in technical fields such as Human-computer-Interaction (HCI) and security monitoring. It generally requires fast processing and decision making. Therefore, it is imperative to develop innovative recognition methods that can detect facial expressions effectively and efficiently. Although humans recognize facial expressions virtually without efforts or delay, reliable expression recognition by machine remains a challenge as of today. To automate recognition of emotional state, machine must be taught to understand facial gestures. This paper focuses on a review of different techniques for face recognition, face detection and emotion recognition are presented.
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