Feature extraction and face recognition algorithm

Abstract

A complete face recognition system includes four parts: face detection, image preprocessing, feature extraction and face recognition. Feature extraction is a key step in face recognition system. It is a very important problem how to extract features effectively. In the feature extraction phase, the PCA feature extraction method and 2DPCA feature extraction method are studied, and the two methods are compared by experiments. Since the 2DPCA method is used to account for a large memory space, and the embedded system resources are limited, this paper adopts the method of PCA feature extraction. In the face recognition stage, the Euclidean distance is used to calculate the projection points of each face image in the face space to judge which face to be recognized.