Article Title

Recognizing Facial Expression using PCA and Genetic Algorithm

Authors

Mahima Agrawal, Deptt. of Electronics and Communication, G. H. Raisoni College of Engg., Digdoh Hills, Hingna, Nagpur (M.S.), IndiaFollow
Shubangi. D. Giripunje, Deptt. of Electronics and Communication, G. H. Raisoni College of Engg., Digdoh Hills, Hingna, Nagpur (M.S.), IndiaFollow
P. R. Bajaj, Deptt. of Electronics and Communication, G. H. Raisoni College of Engg., Digdoh Hills, Hingna, Nagpur (M.S.), IndiaFollow

Abstract

This paper presents an efficient method of recognition of facial expressions in a video. The works proposes highly efficient facial expression recognition system using PCA optimized by Genetic Algorithm .Reduced computational time and comparable efficiency in terms of its ability to recognize correctly are the benchmarks of this work. Video sequences contain more information than still images hence are in the research subject now-a-days and have much more activities during the expression actions. We use PCA, a statistical method to reduce the dimensionality and are used to extract features with the help of covariance analysis to generate Eigen –components of the images. The Eigen-components as a feature input is optimized by Genetic algorithm to reduce the computation cost.

Recommended Citation

Agrawal, Mahima; Giripunje, Shubangi. D.; and Bajaj, P. R. (2013) "Recognizing Facial Expression using PCA and Genetic Algorithm," International Journal of Computer and Communication Technology: Vol. 4: Iss. 2, Article 8.
DOI: 10.47893/IJCCT.2013.1179
Available at: https://www.interscience.in/ijcct/vol4/iss2/8

DOI

10.47893/IJCCT.2013.1179