Face Recognition Detection Based on PCA-SVM

In order to improve the application efficiency of face recognition technology, this paper proposes a face recognition model based on PCA-SVM. Firstly, the basic ORL face database is updated to build a new face recognition database; secondly, the PCA algorithm is used to reduce the dimensionality of face features, and the dimensionality-reduced face features are passed into the SVM classifier for training; finally, based on The PCA-SVM algorithm establishes a face recognition model, and compares the recognition effect of the PCA model and the improved PCA-SVM model through examples to verify the reliability and accuracy of the model.