Facial Expression Recognition for Color Images Using Log Gabor filter and PCA
Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 8)Publication Date: 2014-08-05
Authors : Shail Kumari Shah; Vineet Khanna;
Page : 1177-1180
Keywords : Log-Gabor filter; PCA; Euclidean distance; FEI database; YCbCr;
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.
Other Latest Articles
- Epidermal Wound Assessment by Fuzzy Morphology&Imaging
- Protection against Multi-Id Generation Autobots/Botnets Using Using Colored Visually Encoded OTPs Generated by the Random Function in the Spherical Space
- Split Line Domination in Graphs
- Development and Sensory Evaluation of Sunflower Meal Fortified Cookies
- A New Approach for Sentence Recognition Using Multiple Features
Last modified: 2021-06-30 21:05:59