• ROSY MISHRA
• Arpan sahu
• y.sowjanya
• Nishikant sahoo

Abstract: In this paper, a face recognition system using the principal component analysis (PCA) algorithm was executed. Face recognition is an important and challenging field in the computer world. In this paper a system is present which is able to recognize a person’s face by comparing the facial structure to another person, which is consummated by using front view photographs of individuals in 2-dimensional representation o f a human head. Various types of techniques are used for pre-processing the image in order to handle face alignment problems. Eigen faces are eigenvector of covariance Matrix, represents the given image. And then any new image can be represented as linear combination of these Eigen faces. The techniques classified the faces 97% correctly.

PCA, Eigen faces, face recognition, eigenvectors.

"PRINCIPAL COMPONENT ANALYSIS BASED FACE RECOGNITION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.65-70, April-2019, Available :http://www.jetir.org/papers/JETIR1904N12.pdf

"PRINCIPAL COMPONENT ANALYSIS BASED FACE RECOGNITION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp65-70, April-2019, Available at : http://www.jetir.org/papers/JETIR1904N12.pdf