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Survey Paper | Computer Science Engineering | Volume 4 Issue 4, April 2015 | Pages: 1247 - 1250 | India
A Survey on Facial Expression Recognition Techniques
Abstract: These Human facial expressions convey a lot of information visually rather than articulately. Facial expression recognition plays a crucial role in the area of human-machine interaction. Recognition of facial expression by computer with high recognition rate is still a challenging task. Facial Expression Recognition usually performed in three-stages consisting of face detection, feature extraction, and expression classification. This paper presents a survey of the current work done in the field of facial expression recognition techniques with various face detection, feature extraction and classification methods used by them and their performance.
Keywords: Facial Expression Recognition, Support Vector Machine, Principal Component Analysis, Neural Network, LBP
How to Cite?: Swati Mishra, Avinash Dhole, "A Survey on Facial Expression Recognition Techniques", Volume 4 Issue 4, April 2015, International Journal of Science and Research (IJSR), Pages: 1247-1250, https://www.ijsr.net/getabstract.php?paperid=SUB153261, DOI: https://dx.doi.org/10.21275/SUB153261