Human face recognition application using pca and eigenface approach

Abstract

Face is the most memorable part of the body in real life that makes it an important variable. In this research, we use face recognize method that integrated in Ry-UJI robot. The robot is recognized by a detected voice command looking for someone and when a person's face has been found, face recognition is complete. This article will apply the human face recognition system using the eigenface approach. Eigenface is one of the facial recognition methods based on the Principal Component Analysis (PCA) algorithm. PCA involved a mathematical procedure to derive a set of features for face recognition. Face recognition stage begins with face detection process using cascade classifier method, face preprocess, collect and train the face detected and finally the face recognition.