Face detection system using principal component analysis (PCA) method with eigenface algorithm

Abstract

The use of PINs and passwords still have a low level of accuracy and are inadequate, so it is necessary to develop a security system using a face detection system.The purpose of this study is to detect faces using the PCA method with the eigenface algorithm and find out its accuracy. The data used is image data in the form of human face images with a system display using the Python GUI application. This method is used to simplify the observed variables by shrinking the number of pixels from a set of drawing spaces so that the new coordinate system can better draw distinctive features.