Facial Expression Recognition for Color Images Using Log Gabor filter and PCA

Shail Kumari Shah, Vineet Khanna

Abstract: Facial expression recognition (anger, sad, happy, disgust, surprise, fear expressions) is application of pattern recognition and classification task. Through facial expression human beings can show their emotions. Its applications are in human-computer interaction (HCI), robotics, border security systems, forensics, video conferencing, user profiling for customer satisfaction, physiological research etc. This paper presented a Facial Expression Recognition system based using Log Gabor Filter and PCA. Euclidean distance is used as a classifier. The proposed system is designed and tested with FEI database. Two emotions to be recognized are happy and neutral.

Keywords: Log-Gabor filter, PCA, Euclidean distance, FEI database, YCbCr

How to Cite?: Shail Kumari Shah, Vineet Khanna, "Facial Expression Recognition for Color Images Using Log Gabor filter and PCA", Volume 3 Issue 8, August 2014, International Journal of Science and Research (IJSR), Pages: 1177-1180, https://www.ijsr.net/getabstract.php?paperid=2015613, DOI: https://dx.doi.org/10.21275/2015613