Image Processing Techniques To Recognize Facial Emotions
A. Mercy Rani1, R. Durgadevi2
1Dr A. Mercy Rani, Assistant Professor, Department of Computer Science, Sri SRNM College, Sattur (Tamil Nadu), India.
2R. Durgadevi, M.Phil Scholar, Department of Computer Science, Sri SRNM College, Sattur (Tamil Nadu), India.
Manuscript received on 10 August 2017 | Revised Manuscript received on 18 August 2017 | Manuscript Published on 30 August 2017 | PP: 101-106 | Volume-6 Issue-6, August 2017 | Retrieval Number: F5131086617/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Recognize the human face emotions by computer is an interesting and challenging problem. Face recognition is used in security system effectively compared to other biometric such as fingerprint or iris recognition systems. Face emotion recognition is one of the crucial roles in face recognition system. It is used to recognize the muscle behaviors of the face. The goal of the proposed work is to build an emotion recognition system. It includes face detection, non-skin region extraction and morphological processing finally, emotion recognition. In this article, it begins with frame based detection. The image quality is analyzed. Face location is detected using viola-jones algorithm. Extract non-skin region, Morphological operations are applied to the extracted image to extract the facial feature for recognition of facial emotions. The experiment has shown that the proposed strategy is effective.
Keywords: Image Quality Metrics, Face Detection, Segmentation, Morphological Processing, Emotion Recognition, Mat lab.
Scope of the Article: Image Processing