Research on the Application of Compressed Sensing Theory in Face Recognition

Face recognition is a popular subject in the field of computer technology research. It belongs to biometric recognition technology, which uses the characteristics of individual organisms to distinguish and recognize organisms. This paper proposes a method based on subspace feature extraction, using compressed sensing theory to improve the face recognition algorithm, and provide theoretical support for further improving the face recognition system.