Abstract—Facial expression recognition has potential applications in different aspects of day-to-day life not yet realized due to absence of effective expression recognition techniques. This paper discusses the application of Gabor filter based feature extraction in combination feed forward neural networks (classifier) for recognition of seven different facial expressions from still pictures of the human face. The study presented here gives simple method in facial expression recognition. The study presented here gives 60% to 70 %recognition of facial expression for the entire database of JAFEE. In this study the Japanese Female Facial Expression (JAFFE) database used which contains expressers that expressed expressions. The present study proves the feasibility of computer vision based facial expression recognition for practical applications like surveillance and human computer interaction.

Index Terms—PCA, FER, Gabor etc.

The authors are with Dept. of Electronics and Telecommunication, SVERI’s COE (POLY), Pandharpur (e-mail: mahesh744@gmail.com).

Cite: Mahesh Kumbhar, Ashish Jadhav, and Manasi Patil, "Facial Expression Recognition Based on Image Feature," International Journal of Computer and Communication Engineering vol. 1, no. 2, pp. 117-119 , 2012.