Simple MATLAB Program for Face Recognition Preprocessing Using Eye Detection

This is a straightforward MATLAB program for face recognition preprocessing, ideal for beginners to learn and practice. The program begins by utilizing MATLAB's image processing toolbox to perform initial image enhancements on input facial images, including noise reduction using filters like medfilt2(), and luminance adjustment through histeq() for contrast normalization. Subsequently, the program implements eye detection algorithms—potentially using Viola-Jones method via vision.CascadeObjectDetector—to identify and localize eye features, which serves as crucial anchor points for facial alignment. Following detection, feature extraction algorithms such as PCA (Principal Component Analysis) or LBP (Local Binary Patterns) are employed to encode facial characteristics, while matching may utilize Euclidean distance comparisons or SVM classifiers. Through hands-on experimentation with this program, beginners can gain practical insights into the core principles of biometric systems, establishing a solid foundation for advanced studies in computer vision and pattern recognition.