• Rohini Sharma
• Sanju
• Kirti Bhatia

The face recognition is the identification process of a person by the special characteristics of his face. With growing security requirements and with improvement in technology of obtaining information has become less complex. This paper presents principal component analysis (PCA) and Eigen face base feature extraction and face recognition methodology. This method can identify faces with different pose and facial expressions. This method allows user to select an input image and match it against a given database of images. The database stores a set of image. The proposed method gives 99 % accurate results.

Principal Component Analysis, Eigen Face, Face expression

"PCA AND EIGEN FACE BASED FACE RECOGNITION METHOD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.491-496, June-2018, Available :http://www.jetir.org/papers/JETIR1806763.pdf

"PCA AND EIGEN FACE BASED FACE RECOGNITION METHOD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp491-496, June-2018, Available at : http://www.jetir.org/papers/JETIR1806763.pdf