MATLAB Code Implementation for Face Recognition

This MATLAB-based face recognition code analyzes facial features in images to identify and verify individuals. The implementation incorporates a complete pipeline consisting of image preprocessing techniques (such as histogram equalization and noise reduction), feature extraction methods (like PCA, LDA, or deep learning-based approaches), and pattern matching algorithms (including Euclidean distance measurement or SVM classification). The code structure includes key functions for face detection, feature vector computation, and database matching, ensuring accurate and efficient identity verification. Users can deploy this solution across various applications including security systems, visitor management platforms, and facial unlock mechanisms. The modular architecture provides scalability and flexibility, allowing customization through parameter adjustments, algorithm substitutions, and performance optimization techniques to enhance recognition accuracy and user experience.