Two-Dimensional PCA for Facial Recognition with Source Code Implementation
2DPCA-Based Facial Recognition System with Complete MATLAB Source Code - Ideal for Academic Projects and Graduation Research
Face Recognition Using Two-Dimensional Principal Component Analysis (2DPCA)
Face recognition based on 2DPCA provides superior image dimensionality reduction while achieving higher recognition accuracy compared to traditional PCA methods. This implementation preserves critical image features through direct matrix-to-matrix projection without vectorization.
Two-Dimensional PCA Face Recognition Source Code
Implementation of 2D-PCA for Face Recognition with ORL Database
Face Recognition Using 2D Principal Component Analysis (PCA)
Implementation of 2D PCA for Facial Recognition with Code-Based Feature Extraction