Research on Face Recognition Technology Based on PCA and SVM

Face recognition is a hot topic in the field of artificial intelligence and pattern recognition, which is mainly conducive to machine learning algorithm to judge whether face samples belong to a certain category. Based on the discussion and analysis of PCA and SVM technology, this paper expounds the basic principle and process of face recognition, and puts forward face recognition method based on PCA and SVM. Finally, this method is used to recognize LFW (labeled faces in the wild) face data set, and the parameter adjuster named gridsearchcv is used to adjust the parameters to further improve the precision and recall of face recognition. The experimental results show that the face recognition technology based on PCA and SVM not only reduces the dimension of face data, but also increases the recognition accuracy, which is a feasible face recognition method.